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Von Neumann, J., Morgenstern, O., 1944. Theory of Games and Economic Behavior. Princeton University Press
1944
Earlier work this paper cites.
Nash, J., 1950. Equilibrium points in n-person games. Proceedings of the National Academy of Sciences 36 (1), 48–49
1950
Earlier work this paper cites.
Brown, G., 1951. Iterative solution of games by fictitious play. In: Proceedings of the Conference on Activity Analysis of Production and Allocation, Cowles Commission Monograph 13. pp. 374–376
1951
Earlier work this paper cites.
Bellman, R., 1957. Dynamic Programming. Princeton University Press
1957
Earlier work this paper cites.
Fredkin, E., 1960. Trie memory. Communications of the ACM 3 (9), 490–499
1960
Earlier work this paper cites.
Harsanyi, J., 1962. Bargaining in ignorance of the opponent’s utility function. Journal of Conflict Resolution 6 (1), 29–38
1962
Earlier work this paper cites.
Howard, R., 1966. Information value theory. IEEE Transactions on Systems Science and Cybernetics 2 (1), 22–26
1966
Earlier work this paper cites.
Harsanyi, J., 1967. Games with incomplete information played by “Bayesian” players. Part I. The basic model. Management Science 14 (3), 159–182
1967
Earlier work this paper cites.
McCarthy, J., Hayes, P., 1969. Some philosophical problems from the standpoint of artificial intelligence. Machine Intelligence 4, 463–502
1969
Earlier work this paper cites.
Fikes, R., Nilsson, N., 1971. STRIPS: A new approach to the application of theorem proving to problem solving. Artificial intelligence 2 (3-4), 189–208
1971
Earlier work this paper cites.
Sondik, E., 1971. The optimal control of partially observable Markov processes. Ph.D. thesis, Stanford University
1971
Earlier work this paper cites.
Aumann, R., 1974. Subjectivity and correlation in randomized strategies. Journal of mathematical Economics 1, 67–96
1974
Earlier work this paper cites.
Gold, E., 1978. Complexity of automaton identification from given data. Information and Control 37 (3), 302–320
1978
Earlier work this paper cites.
Schmidt, C., Sridharan, N., Goodson, J., 1978. The plan recognition problem: An intersection of psychology and artificial intelligence. Artificial Intelligence 11 (1-2), 45–83
1978
Earlier work this paper cites.
McCarthy, J., 1980. Circumscription — a form of non-monotonic reasoning. Artificial intelligence 13 (1), 27–39
1980
Earlier work this paper cites.
Cohen, P., Perrault, C., Allen, J., 1981. Beyond question answering. In: Lehnert, W., Ringle, M. (Eds.), Strategies for Natural Language Processing. Taylor & Fancis Group, pp. 245–274
1981
Earlier work this paper cites.
Campbell, M., Marsland, T., 1983. A comparison of minimax tree search algorithms. Artificial Intelligence 20 (4), 347–367
1983
Earlier work this paper cites.
Reibman, A., Ballard, B., 1983. Non-minimax search strategies for use against fallible opponents. In: Proceedings of the 3rd AAAI National Conference on Artificial Intelligence. pp. 338–342
1983
Earlier work this paper cites.
Howard, R., Matheson, J., 1984. Influence diagrams. In: Howard, R., Matheson, J. (Eds.), Readings on the Principles and Applications of Decision Analysis. Vol. 2. Strategic Decisions Group, pp. 719–762
1984
Earlier work this paper cites.
Litman, D., Allen, J., 1984. A plan recognition model for clarification subdialogues. In: Proceedings of the 10th International Conference on Computational Linguistics. pp. 302–311
1984
Earlier work this paper cites.
Grosz, B., Sidner, C., 1986. Attention, intentions, and the structure of discourse. Computational Linguistics 12 (3), 175–204
1986
Earlier work this paper cites.
Hammond, K., 1986. CHEF: A model of case-based planning. In: Proceedings of the 5th AAAI National Conference on Artificial Intelligence. pp. 267–271
1986
Earlier work this paper cites.
Kautz, H., Allen, J., 1986. Generalized plan recognition. In: Proceedings of the 5th National Conference on Artificial Intelligence. pp. 32–37
1986
Earlier work this paper cites.
Pollack, M., 1986. A model of plan inference that distinguishes between the beliefs of actors and observers. In: Proceedings of the 24th Annual Meeting of the Association for Computational Linguistics. pp. 207–214
1986
Earlier work this paper cites.
Shachter, R., 1986. Evaluating influence diagrams. Operations Research 34 (6), 871–882
1986
Earlier work this paper cites.
Wilks, Y., Ballim, A., 1986. Multiple agents and the heuristic ascription of belief. In: Proceedings of the 10th International Joint Conference on Artificial Intelligence. pp. 118–124
1986
Earlier work this paper cites.
Pearl, J., 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann
1988
Earlier work this paper cites.
Dean, T., Kanazawa, K., 1989. A model for reasoning about persistence and causation. Computational Intelligence 5, 142–150
1989
Earlier work this paper cites.
Pitt, L., 1989. Inductive inference, DFAs, and computational complexity. In: International Workshop on Analogical and Inductive Inference. Springer, pp. 18–44
1989
Earlier work this paper cites.
Anderson, J., Boyle, C., Corbett, A., Lewis, M., 1990. Cognitive modeling and intelligent tutoring. Artificial Intelligence 42 (1), 7–49
1990
Earlier work this paper cites.
Cohen, P., Levesque, H., 1991. Teamwork. Nous 25 (4), 487–512
1991
Earlier work this paper cites.
Gmytrasiewicz, P., Durfee, E., Wehe, D., 1991. A decision-theoretic approach to coordinating multi-agent interactions. In: Proceedings of the 12th International Joint Conference on Artificial Intelligence. pp. 63–68
1991
Earlier work this paper cites.
Muggleton, S., 1991. Inductive logic programming. New Generation Computing 8 (4), 295–318
1991
Earlier work this paper cites.
Myerson, R., 1991. Game Theory: Analysis of Conflict. Harvard University Press
1991
Earlier work this paper cites.
Watkins, C., Dayan, P., 1992. Q-learning. Machine learning 8 (3), 279–292
1992
Earlier work this paper cites.
Carmel, D., Markovitch, S., 1993. Learning models of opponent’s strategy in game playing. In: Proceedings of the AAAI Fall Symposium Series. Games: Planning and Learning. pp. 140–147
1993
Earlier work this paper cites.
Charniak, E., Goldman, R., 1993. A Bayesian model of plan recognition. Artificial Intelligence 64 (1), 53–79
1993
Earlier work this paper cites.
Iida, H., Uiterwijk, J., van den Herik, H., Herschberg, I., 1993. Potential applications of opponent-model search. part 1: The domain of applicability. ICCA Journal 16, 201–208
1993
Earlier work this paper cites.
Kalai, E., Lehrer, E., 1993. Rational learning leads to Nash equilibrium. Econometrica 61 (5), 1019–1045
1993
Earlier work this paper cites.
McTear, M., 1993. User modelling for adaptive computer systems: a survey of recent developments. Artificial Intelligence Review 7 (3), 157–184
1993
Earlier work this paper cites.
Albrecht, S., Crandall, J., Ramamoorthy, S., 2015b. An empirical study on the practical impact of prior beliefs over policy types. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence. pp. 1988–1994
1994
Earlier work this paper cites.
Baré, M., Canamero, D., Delannoy, J., Kodratoff, Y., 1994. XPlans: Case-based reasoning for plan recognition. Applied Artificial Intelligence 8 (4), 617–643
1994
Earlier work this paper cites.
Iida, H., Uiterwijk, J., van den Herik, H., Herschberg, I., 1994. Potential applications of opponent-model search. part 2: Risks and strategies. ICCA Journal 17, 10–14
1994
Earlier work this paper cites.
Veloso, M., 1994. Planning and Learning by Analogical Reasoning. LNAI 886. Springer-Verlag
1994
Earlier work this paper cites.
Bengio, Y., Frasconi, P., 1995. An input output HMM architecture. In: Advances in Neural Information Processing Systems 8. pp. 427–434
1995
Earlier work this paper cites.
Chaloner, K., Verdinelli, I., 1995. Bayesian experimental design: A review. Statistical Science, 273–304
1995
Earlier work this paper cites.
Cortes, C., Vapnik, V., 1995. Support-vector networks. Machine Learning 20 (3), 273–297
1995
Earlier work this paper cites.
Gmytrasiewicz, P., Durfee, E., 1995. A rigorous, operational formalization of recursive modeling. In: Proceedings of the 1st International Conference on Multiagent Systems. pp. 125–132
1995
Earlier work this paper cites.
Lesh, N., Etzioni, O., 1995. A sound and fast goal recognizer. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence. pp. 1704–1710
1995
Earlier work this paper cites.
Mor, Y., Goldman, C., Rosenschein, J., 1995. Learn your opponent’s strategy (in polynomial time)! In: IJCAI’95 Workshop on Adaption and Learning in Multi-Agent Systems
1995
Earlier work this paper cites.
Tambe, M., 1995. Recursive agent and agent-group tracking in a real-time dynamic environment. In: Proceedings of the 1st International Conference on Multi-Agent Systems. pp. 368–375
1995
Earlier work this paper cites.
Tambe, M., Rosenbloom, P., 1995. RESC: an approach for real-time, dynamic agent tracking. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence. pp. 103–110
1995
Earlier work this paper cites.
Vidal, J., Durfee, E., 1995. Recursive agent modeling using limited rationality. In: Proceedings of the 1st International Conference on Multi-Agent Systems. pp. 376–383
1995
Earlier work this paper cites.
Grosz, B., Kraus, S., 1996. Collaborative plans for complex group action. Artificial Intelligence 86 (2), 269–357
1996
Earlier work this paper cites.
Iida, H., Kotani, Y., Uiterwijk, J., 1996. Tutoring strategies in game-tree search. Games of No Chance 29, 433–435
1996
Earlier work this paper cites.
Tambe, M., 1996. Tracking dynamic team activity. In: Proceedings of the 13th National Conference on Artificial Intelligence. pp. 80–87
1996
Earlier work this paper cites.
Albrecht, D., Zukerman, I., Nicholson, A., Bud, A., 1997. Towards a Bayesian model for keyhole plan recognition in large domains. In: User Modeling: Proceedings of the Sixth International Conference. Springer, pp. 365–376
1997
Earlier work this paper cites.
Kitano, H., Tambe, M., Stone, P., Veloso, M., Coradeschi, S., Osawa, E., Matsubara, H., Noda, I., Asada, M., 1997. The RoboCup synthetic agent challenge 97. Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 24–29
1997
Earlier work this paper cites.
Sen, S., Arora, N., 1997. Learning to take risks. In: AAAI’97 Workshop on Multiagent Learning. pp. 59–64
1997
Earlier work this paper cites.
Tambe, M., 1997. Towards flexible teamwork. Journal of Artificial Intelligence Research 7, 83–124
1997
Earlier work this paper cites.
Albrecht, D., Zukerman, I., Nicholson, A., 1998. Bayesian models for keyhole plan recognition in an adventure game. User Modeling and User-Adapted Interaction 8 (1), 5–47
1998
Earlier work this paper cites.
Boyen, X., Koller, D., 1998. Tractable inference for complex stochastic processes. In: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence. pp. 33–42
1998
Earlier work this paper cites.
Claus, C., Boutilier, C., 1998. The dynamics of reinforcement learning in cooperative multiagent systems. In: Proceedings of the 15th National Conference on Artificial Intelligence. pp. 746–752
1998
Earlier work this paper cites.
Davison, B., Hirsh, H., 1998. Predicting sequences of user actions. In: AAAI/ICML’98 Workshop on Predicting the Future: AI Approaches to Time-Series Analysis
1998
Earlier work this paper cites.
Fudenberg, D., Levine, D., 1998. The Theory of Learning in Games. Vol. 2. MIT Press
1998
Earlier work this paper cites.
Gmytrasiewicz, P., Noh, S., Kellogg, T., 1998. Bayesian update of recursive agent models. User Modeling and User-Adapted Interaction 8 (1), 49–69
1998
Earlier work this paper cites.
Kaelbling, L., Littman, M., Cassandra, A., 1998. Planning and acting in partially observable stochastic domains. Artificial intelligence 101 (1), 99–134
1998
Earlier work this paper cites.
Nyarko, Y., 1998. Bayesian learning and convergence to Nash equilibria without common priors. Economic Theory 11 (3), 643–655
1998
Earlier work this paper cites.
Carmel, D., Markovitch, S., 1999. Exploration strategies for model-based learning in multi-agent systems. Autonomous Agents and Multi-Agent Systems 2 (2), 141–172
1999
Earlier work this paper cites.
Royer, E., Toh, C., 1999. A review of current routing protocols for ad hoc mobile wireless networks. IEEE Personal Communications 6 (2), 46–55
1999
Earlier work this paper cites.
Sen, S., Weiss, G., 1999. Learning in multiagent systems. In: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Ch. 6, pp. 259–298
1999
Earlier work this paper cites.
Stone, P., Veloso, M., 1999. Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork. Artificial Intelligence 110 (2), 241–273
1999
Earlier work this paper cites.
Suryadi, D., Gmytrasiewicz, P., 1999. Learning models of other agents using influence diagrams. Proceedings of the 7th International Conference on User Modeling, 223–234
1999
Earlier work this paper cites.
Abdul-Rahman, A., Hailes, S., 2000. Supporting trust in virtual communities. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences. IEEE
2000
Earlier work this paper cites.
Chajewska, U., Koller, D., Parr, R., 2000. Making rational decisions using adaptive utility elicitation. In: Proceedings of the 17th National Conference on Artificial Intelligence. pp. 363–369
2000
Earlier work this paper cites.
Dasgupta, P., 2000. Trust as a commodity. Trust: Making and Breaking Cooperative Relations 4, 49–72
2000
Earlier work this paper cites.
Davidson, A., Billings, D., Schaeffer, J., Szafron, D., 2000. Improved opponent modeling in poker. In: Proceedings of the International Conference on Artificial Intelligence. pp. 1467–1473
2000
Earlier work this paper cites.
Doucet, A., De Freitas, N., Murphy, K., Russell, S., 2000. Rao-Blackwellised particle filtering for dynamic Bayesian networks. In: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence. pp. 176–183
2000
Earlier work this paper cites.
Gmytrasiewicz, P., Durfee, E., 2000. Rational coordination in multi-agent environments. Autonomous Agents and Multi-Agent Systems 3 (4), 319–350
2000
Earlier work this paper cites.
Hong, J., 2000. Graph construction and analysis as a paradigm for plan recognition. In: Proceedings of the 17th National Conference on Artificial Intelligence. pp. 774–779
2000
Earlier work this paper cites.
Horst, R., Pardalos, P., Thoai, N., 2000. Introduction to Global Optimization. Kluwer Academic Publishers
2000
Earlier work this paper cites.
La Mura, P., 2000. Game networks. In: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence. pp. 335–342
2000
Earlier work this paper cites.
McCalla, G., Vassileva, J., Greer, J., Bull, S., 2000. Active learner modelling. In: Proceedings of the 5th International Conference on Intelligent Tutoring Systems. pp. 53–62
2000
Earlier work this paper cites.
Milch, B., Koller, D., 2000. Probabilistic models for agents’ beliefs and decisions. In: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence. pp. 389–396
2000
Earlier work this paper cites.
Ng, A., Russell, S., 2000. Algorithms for inverse reinforcement learning. In: Proceedings of the 17th International Conference on Machine Learning. pp. 663–670
2000
Earlier work this paper cites.
Pynadath, D., Wellman, M., 2000. Probabilistic state-dependent grammars for plan recognition. In: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence. pp. 507–514
2000
Earlier work this paper cites.
Riley, P., Veloso, M., 2000. On behavior classification in adversarial environments. In: Distributed Autonomous Robotic Systems 4. Springer, pp. 371–380
2000
Earlier work this paper cites.
Schillo, M., Funk, P., Rovatsos, M., 2000. Using trust for detecting deceitful agents in artificial societies. Applied Artificial Intelligence 14 (8), 825–848
2000
Earlier work this paper cites.
Stone, P., Riley, P., Veloso, M., 2000. Defining and using ideal teammate and opponent agent models. In: Proceedings of the 12th Conference on Innovative Applications of Artificial Intelligence. pp. 441–442
2000
Earlier work this paper cites.
Stone, P., Veloso, M., 2000. Multiagent systems: A survey from a machine learning perspective. Autonomous Robots 8 (3), 345–383
2000
Earlier work this paper cites.
Alonso, E., D’Inverno, M., Kudenko, D., Luck, M., Noble, J., 2001. Learning in multi-agent systems. The Knowledge Engineering Review 16 (3), 277–284
2001
Earlier work this paper cites.
Carberry, S., 2001. Techniques for plan recognition. User Modeling and User-Adapted Interaction 11 (1-2), 31–48
2001
Earlier work this paper cites.
Chajewska, U., Koller, D., Ormoneit, D., 2001. Learning an agent’s utility function by observing behavior. In: Proceedings of the 18th International Conference on Machine Learning. pp. 35–42
2001
Earlier work this paper cites.
Foster, D., Young, H., 2001. On the impossibility of predicting the behavior of rational agents. Proceedings of the National Academy of Sciences 98 (22), 12848–12853
2001
Cited alongside, same era.
Fürnkranz, J., 2001. Machine learning in games: A survey. In: Fürnkranz, J., Kubat, M. (Eds.), Machines That Learn to Play Games. Nova Science Publishers, Ch. 2, pp. 11–59
2001
Cited alongside, same era.
Geib, C., Goldman, R., 2001. Plan recognition in intrusion detection systems. In: Proceedings of the 2nd DARPA Information Survivability Conference and Exposition. pp. 329–342
2001
Cited alongside, same era.
Hart, S., Mas-Colell, A., 2001. A reinforcement procedure leading to correlated equilibrium. Economic Essays: A Festschrift for Werner Hildenbrand, 181–200
2001
Cited alongside, same era.
Hong, J., 2001. Goal recognition through goal graph analysis. Journal of Artificial Intelligence Research 15, 1–30
Koller, D., Friedman, N., 2009. Probabilistic Graphical Models: Principles and Techniques. The MIT Press
2009
Later among the works it cites.
Laviers, K., Sukthankar, G., Molineaux, M., Aha, D., 2009. Improving offensive performance through opponent modeling. In: Proceedings of the 5th Artificial Intelligence for Interactive Digital Entertainment Conference. pp. 58–63
2009
Later among the works it cites.
Ledezma, A., Aler, R., Sanchis, A., Borrajo, D., 2009. OMBO: an opponent modeling approach. AI Communications 22 (1), 21–35
2009
Later among the works it cites.
Millington, I., Funge, J., 2009. Artificial Intelligence for Games, second edition Edition. CRC Press
2009
Later among the works it cites.
Ramírez, M., Geffner, H., 2009. Plan recognition as planning. In: Proceedings of the 21st International Joint Conference on Artifical Intelligence. pp. 1778–1783
2009
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2001
Cited alongside, same era.
Kearns, M., Littman, M., Singh, S., 2001. Graphical models for game theory. In: Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence. pp. 253–260
2001
Cited alongside, same era.
Riley, P., Veloso, M., 2002. Recognizing probabilistic opponent movement models. In: RoboCup 2001, LNAI 2377. Springer, pp. 453–458
2001
Cited alongside, same era.
Sabater, J., Sierra, C., 2001. Regret: A reputation model for gregarious societies. In: Fourth Workshop on Deception Fraud and Trust in Agent Societies. Vol. 70. pp. 61–69
2001
Cited alongside, same era.
Zukerman, I., Albrecht, D., 2001. Predictive statistical models for user modeling. User Modeling and User-Adapted Interaction 11 (1), 5–18
2001
Cited alongside, same era.
Boutilier, C., 2002. A POMDP formulation of preference elicitation problems. In: Proceedings of the 18th National Conference on Artificial Intelligence. pp. 239–246
2002
Cited alongside, same era.
Bowling, M., Veloso, M., 2002. Multiagent learning using a variable learning rate. Artificial Intelligence 136 (2), 215–250
2002
Cited alongside, same era.
Bui, H., Venkatesh, S., West, G., 2002. Policy recognition in the abstract hidden Markov model. Journal of Artificial Intelligence Research 17, 451–499
2002
Cited alongside, same era.
Later among the works it cites.
Weber, B., Mateas, M., 2009. A data mining approach to strategy prediction. In: Proceedings of the IEEE Symposium on Computational Intelligence and Games. pp. 140–147
2009
Later among the works it cites.
Banerjee, B., Kraemer, L., Lyle, J., 2010. Multi-agent plan recognition: Formalization and algorithms. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence. pp. 1059–1064
2010
Later among the works it cites.
Bombini, G., Di Mauro, N., Ferilli, S., Esposito, F., 2010. Classifying agent behaviour through relational sequential patterns. Agent and Multi-Agent Systems: Technologies and Applications, 273–282
2010
Later among the works it cites.
Doshi, P., Chandrasekaran, M., Zeng, Y., 2010. Epsilon-subjective equivalence of models for interactive dynamic influence diagrams. In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. Vol. 2. IEEE, pp. 165–172
2010
Later among the works it cites.
Fern, A., Tadepalli, P., 2010. A computational decision theory for interactive assistants. In: Advances in Neural Information Processing Systems. pp. 577–585
2010
Later among the works it cites.
Gold, K., 2010. Training goal recognition online from low-level inputs in an action-adventure game. In: Proceedings of the 6th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. pp. 21–26
2010
Later among the works it cites.
Iglesias, J., Angelov, P., Ledezma, A., Sanchis, A., 2010. Evolving classification of agents’ behaviors: a general approach. Evolving Systems 1 (3), 161–171
2010
Later among the works it cites.
Illobre, A., Gonzalez, J., Otero, R., Santos, J., 2010. Learning action descriptions of opponent behaviour in the Robocup 2D simulation environment. In: Proceedings of the 20th International Conference on Inductive Logic Programming. Springer, pp. 105–113
2010
Later among the works it cites.
Löwe, B., Pacuit, E., Witzel, A., 2010. Planning based on dynamic epistemic logic. Tech. rep., Technical Report PP-2010-14, Institute for logic, Language and Computation, Universiteit van Amsterdam
2010
Later among the works it cites.
Ramírez, M., Geffner, H., 2010. Probabilistic plan recognition using off-the-shelf classical planners. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence. pp. 1121–1126
2010
Later among the works it cites.
Spronck, P., den Teuling, F., 2010. Player modeling in Civilization IV. In: Proceedings of the 6th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. pp. 180–185
2010
Later among the works it cites.
Stone, P., Kaminka, G., Kraus, S., Rosenschein, J., 2010. Ad hoc autonomous agent teams: collaboration without pre-coordination. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence. pp. 1504–1509
2010
Later among the works it cites.
Wright, J., Leyton-Brown, K., 2010. Beyond equilibrium: Predicting human behavior in normal-form games. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence. pp. 901–907
2010
Later among the works it cites.
Baker, C., Saxe, R., Tenenbaum, J., 2011. Bayesian theory of mind: Modeling joint belief-desire attribution. In: Proceedings of the Cognitive Science Society. pp. 2469–2474
2011
Later among the works it cites.
Banerjee, B., Kraemer, L., 2011. Branch and price for multi-agent plan recognition. In: Proceedings of the 25th AAAI Conference on Artificial Intelligence. pp. 601–607
2011
Later among the works it cites.
Barrett, S., Stone, P., Kraus, S., 2011. Empirical evaluation of ad hoc teamwork in the pursuit domain. In: Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems. pp. 567–574
2011
Later among the works it cites.
Bolander, T., Andersen, M., 2011. Epistemic planning for single- and multi-agent systems. Journal of Applied Non-Classical Logics 21 (1), 9–33
2011
Later among the works it cites.
Erdogan, C., Veloso, M., 2011. Action selection via learning behavior patterns in multi-robot domains. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence. pp. 192–197
2011
Later among the works it cites.
Ganzfried, S., Sandholm, T., 2011. Game theory-based opponent modeling in large imperfect-information games. In: Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems. pp. 533–540
2011
Later among the works it cites.
Jensen, F., Nielsen, T., 2011. Probabilistic decision graphs for optimization under uncertainty. 4OR: A Quarterly Journal of Operations Research 9 (1), 1–28
2011
Later among the works it cites.
Nguyen, T.-H. D., Hsu, D., Lee, W. S., Leong, T.-Y., Kaelbling, L. P., Lozano-Perez, T., Grant, A. H., 2011. CAPIR: Collaborative action planning with intention recognition. In: Proceedings of the 7th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. pp. 61–66
2011
Later among the works it cites.
Oh, J., Meneguzzi, F., Sycara, K., Norman, T., 2011. An agent architecture for prognostic reasoning assistance. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence. pp. 2513–2518
2011
Later among the works it cites.
Pourmehr, S., Dadkhah, C., 2012. An overview on opponent modeling in RoboCup soccer simulation 2D. In: RoboCup 2011, LNCS 7416. Springer, pp. 402–414
2011
Later among the works it cites.
Rubin, J., Watson, I., 2011. Computer poker: A review. Artificial Intelligence 175 (5), 958–987
2011
Later among the works it cites.
Synnaeve, G., Bessiere, P., 2011. A Bayesian model for opening prediction in RTS games with application to Starcraft. In: IEEE Conference on Computational Intelligence and Games. pp. 281–288
2011
Later among the works it cites.
Wang, Z., Boularias, A., Mülling, K., Peters, J., 2011. Balancing safety and exploitability in opponent modeling. In: Proceedings of the 25th AAAI Conference on Artificial Intelligence. pp. 1515–1520
2011
Later among the works it cites.
Zhuo, H., Li, L., 2011. Multi-agent plan recognition with partial team traces and plan libraries. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence. pp. 484–489
2011
Later among the works it cites.
Albrecht, S., Ramamoorthy, S., 2012. Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems. pp. 349–356
2012
Later among the works it cites.
Bakkes, S., Spronck, P., van Lankveld, G., 2012. Player behavioural modelling for video games. Entertainment Computing 3 (3), 71–79
2012
Later among the works it cites.
Browne, C., Powley, E., Whitehouse, D., Lucas, S., Cowling, P., Rohlfshagen, P., Tavener, S., Perez, D., Samothrakis, S., Colton, S., 2012. A survey of Monte Carlo tree search methods. IEEE Transactions on Computational Intelligence and AI in games 4 (1), 1–43
2012
Later among the works it cites.
Goodie, A., Doshi, P., Young, D., 2012. Levels of theory-of-mind reasoning in competitive games. Journal of Behavioral Decision Making 25 (1), 95–108
2012
Later among the works it cites.
Ng, B., Boakye, K., Meyers, C., Wang, A., 2012. Bayes-adaptive interactive POMDPs. In: Proceedings of the 26th AAAI Conference on Artificial Intelligence. pp. 1408–1414
2012
Later among the works it cites.
Settles, B., 2012. Active Learning. Morgan & Claypool Publishers
2012
Later among the works it cites.
Tuyls, K., Weiss, G., 2012. Multiagent learning: Basics, challenges, and prospects. AI Magazine 33 (3), 41
2012
Later among the works it cites.
Zeng, Y., Doshi, P., 2012. Exploiting model equivalences for solving interactive dynamic influence diagrams. Journal of Artificial Intelligence Research 43, 211–255
2012
Later among the works it cites.
Zhuo, H., Yang, Q., Kambhampati, S., 2012. Action-model based multi-agent plan recognition. In: Advances in Neural Information Processing Systems. pp. 368–376
2012
Later among the works it cites.
2013
Later among the works it cites.
Bard, N., Johanson, M., Burch, N., Bowling, M., 2013. Online implicit agent modelling. In: Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems. pp. 255–262
2013
Later among the works it cites.
Barrett, S., Stone, P., Kraus, S., Rosenfeld, A., 2013. Teamwork with limited knowledge of teammates. In: Proceedings of the 27th AAAI Conference on Artificial Intelligence. pp. 102–108
2013
Later among the works it cites.
Cadilhac, A., Asher, N., Benamara, F., Lascarides, A., 2013. Grounding strategic conversation: Using negotiation dialogues to predict trades in a win-lose game. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. pp. 357–368
2013
Later among the works it cites.
Chakraborty, D., Stone, P., 2013. Cooperating with a Markovian ad hoc teammate. In: Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems. pp. 1085–1092
2013
Later among the works it cites.
de Weerd, H., Verbrugge, R., Verheij, B., 2013. How much does it help to know what she knows you know? an agent-based simulation study. Artificial Intelligence 199, 67–92
2013
Later among the works it cites.
Hawasly, M., Ramamoorthy, S., 2013. Lifelong transfer learning with an option hierarchy. In: International Conference on Intelligent Robots and Systems. IEEE, pp. 1341–1346
2013
Later among the works it cites.
Hoang, T., Low, K., 2013. Interactive POMDP lite: Towards practical planning to predict and exploit intentions for interacting with self-interested agents. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence. pp. 2298–2305
2013
Later among the works it cites.
Pinyol, I., Sabater-Mir, J., 2013. Computational trust and reputation models for open multi-agent systems: a review. Artificial Intelligence Review 40 (1), 1–25
2013
Later among the works it cites.
Yu, H., Shen, Z., Leung, C., Miao, C., Lesser, V., 2013. A survey of multi-agent trust management systems. IEEE Access 1, 35–50
2013
Later among the works it cites.
Albrecht, S., Ramamoorthy, S., 2014. On convergence and optimality of best-response learning with policy types in multiagent systems. In: Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence. pp. 12–21
2014
Later among the works it cites.
Chakraborty, D., Stone, P., 2014. Multiagent learning in the presence of memory-bounded agents. Autonomous Agents and Multi-Agent Systems 28 (2), 182–213
2014
Later among the works it cites.
Crandall, J., 2014. Towards minimizing disappointment in repeated games. Journal of Artificial Intelligence Research 49, 111–142
2014
Later among the works it cites.
Fagundes, M., Meneguzzi, F., Bordini, R., Vieira, R., 2014. Dealing with ambiguity in plan recognition under time constraints. In: Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems. pp. 389–396
2014
Later among the works it cites.
Karpinskyj, S., Zambetta, F., Cavedon, L., 2014. Video game personalisation techniques: A comprehensive survey. Entertainment Computing 5 (4), 211–218
2014
Later among the works it cites.
Keren, S., Gal, A., Karpas, E., 2014. Goal recognition design. In: Proceedings of the 24th International Conference on Automated Planning and Scheduling. pp. 154–162
2014
Later among the works it cites.
Kolodner, J., 2014. Case-Based Reasoning. Morgan Kaufmann
2014
Later among the works it cites.
Lasota, P., Fong, T., Shah, J., 2014. A survey of methods for safe human-robot interaction. Foundations and Trends in Robotics 5 (4), 261–349
2014
Later among the works it cites.
Miorandi, D., Maltese, V., Rovatsos, M., Nijholt, A., Stewart, J., 2014. Social collective intelligence: combining the powers of humans and machines to build a smarter society. Springer
2014
Later among the works it cites.
Ramırez, M., Geffner, H., 2011. Goal recognition over POMDPs: Inferring the intention of a POMDP agent. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence. pp. 2009–2014
2014
Later among the works it cites.
Sukthankar, G., Goldman, R., Geib, C., Pynadath, D., Bui, H., 2014. Plan, Activity, and Intent Recognition: Theory and Practice. Morgan Kaufmann
2014
Later among the works it cites.
Albrecht, S., Ramamoorthy, S., 2015. Are you doing what I think you are doing? Criticising uncertain agent models. In: Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence. pp. 52–61
2015
Later among the works it cites.
Bloembergen, D., Tuyls, K., Hennes, D., Kaisers, M., 2015. Evolutionary dynamics of multi-agent learning: A survey. Journal of Artificial Intelligence Research 53, 659–697
2015
Later among the works it cites.
Borck, H., Karneeb, J., Alford, R., Aha, D., 2015. Case-based behavior recognition in beyond visual range air combat. In: Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference. pp. 379–384
2015
Later among the works it cites.
Bowling, M., Burch, N., Johanson, M., Tammelin, O., 2015. Heads-up limit hold’em poker is solved. Science 347 (6218), 145–149
2015
Later among the works it cites.
Camerer, C., Ho, T., Chong, J., 2015. A psychological approach to strategic thinking in games. Current Opinion in Behavioral Sciences 3, 157–162
2015
Later among the works it cites.
Keren, S., Gal, A., Karpas, E., 2015. Goal recognition design for non-optimal agents. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence. pp. 3298–3304
2015
Later among the works it cites.
Kominis, F., Geffner, H., 2015. Beliefs in multiagent planning: From one agent to many. In: Proceedings of the 25th International Conference on Automated Planning and Scheduling. pp. 147–155
2015
Later among the works it cites.
Muise, C., Belle, V., Felli, P., McIlraith, S., Miller, T., Pearce, A., Sonenberg, L., 2015. Planning over multi-agent epistemic states: A classical planning approach. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence. pp. 3327–3334
2015
Later among the works it cites.
Sonu, E., Doshi, P., 2015. Scalable solutions of interactive POMDPs using generalized and bounded policy iteration. Autonomous Agents and Multi-Agent Systems 29 (3), 455–494
2015
Later among the works it cites.
Albrecht, S., Crandall, J., Ramamoorthy, S., 2016. Belief and truth in hypothesised behaviours. Artificial Intelligence 235, 63–94
2016
Later among the works it cites.
Albrecht, S. V., Ramamoorthy, S., 2016. Exploiting causality for selective belief filtering in dynamic Bayesian networks. Journal of Artificial Intelligence Research 55, 1135–1178
2016
Later among the works it cites.
Baarslag, T., Hendrikx, M., Hindriks, K., Jonker, C., 2016. Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques. Autonomous Agents and Multi-Agent Systems 30 (5), 849–898
2016
Later among the works it cites.
Barrett, S., Stone, P., 2015. Cooperating with unknown teammates in complex domains: A robot soccer case study of ad hoc teamwork. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence. pp. 2010–2016
2016
Later among the works it cites.
Chandrasekaran, M., Eck, A., Doshi, P., Soh, L., 2016. Individual planning in open and typed agent systems. In: Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence. pp. 82–91
2016
Later among the works it cites.
Hausknecht, M., Mupparaju, P., Subramanian, S., Kalyanakrishnan, S., Stone, P., 2016. Half field offense: An environment for multiagent learning and ad hoc teamwork. In: AAMAS’16 Workshop on Adaptive Learning Agents
2016
Later among the works it cites.
He, H., Boyd-Graber, J., Kwok, K., Daumé III, H., 2016. Opponent modeling in deep reinforcement learning. In: Proceedings of the 33rd International Conference on Machine Learning. pp. 1804–1813
2016
Later among the works it cites.
Keren, S., Gal, A., Karpas, E., 2016. Goal recognition design with non-observable actions. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence. pp. 3152–3158
2016
Later among the works it cites.
Sadigh, D., Sastry, S., Seshia, S., Dragan, A., 2016. Information gathering actions over human internal state. In: Proceedings of the IEEE International Conference on Intelligent Robots and Systems. pp. 66–73
2016
Later among the works it cites.
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al., 2016. Mastering the game of Go with deep neural networks and tree search. Nature 529 (7587), 484–489
2016
Later among the works it cites.
Sohrabi, S., Riabov, A., Udrea, O., 2016. Plan recognition as planning revisited. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence. pp. 3258–3264
2016
Later among the works it cites.
Tian, X., Zhuo, H., Kambhampati, S., 2016. Discovering underlying plans based on distributed representations of actions. In: Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems. pp. 1135–1143
2016
Later among the works it cites.
Albrecht, S., Liemhetcharat, S., Stone, P., 2017. Special issue on multiagent interaction without prior coordination: Guest editorial. Autonomous Agents and Multi-Agent Systems 31 (4), 765–766. URL http://dx.doi.org/10.1007/s10458-016-9358-0
2017
Closest in time.
Albrecht, S., Stone, P., 2017. Reasoning about hypothetical agent behaviours and their parameters. In: Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems. pp. 547–555
2017
Closest in time.
de Weerd, H., Verbrugge, R., Verheij, B., 2017. Negotiating with other minds: the role of recursive theory of mind in negotiation with incomplete information. Autonomous Agents and Multi-Agent Systems 31 (2), 250–287
2017
Closest in time.
2017
Closest in time.
Hernandez-Leal, P., Zhan, Y., Taylor, M., Sucar, L., de Cote, E., 2017. Efficiently detecting switches against non-stationary opponents. Autonomous Agents and Multi-Agent Systems 31 (4), 767–789
2017
Closest in time.
Mealing, R., Shapiro, J., 2017. Opponent modelling by expectation-maximisation and sequence prediction in simplified poker. IEEE Transactions on Computational Intelligence and AI in Games 9
2017
Closest in time.
Panella, A., Gmytrasiewicz, P., 2017. Interactive POMDPs with finite-state models of other agents. Autonomous Agents and Multi-Agent Systems
2017
Closest in time.
Vered, M., Kaminka, G., 2017. Heuristic online goal recognition in continuous domains. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence. pp. 4447–4454
2017
Closest in time.
Wayllace, C., Hou, P., Yeoh, W., 2017. New metrics and algorithms for stochastic goal recognition design problems. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence. pp. 4455–4462
2017
Closest in time.