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Pragmatics studies how context can contribute to language meanings.
H. P. Grice, P. Cole, J. Morgan et al. , “Logic and conversation,” 1975 , pp. 41–58, 1975
1975
Earlier work this paper cites.
D. Premack and G. Woodruff, “Does the chimpanzee have a theory of mind?” Behavioral and brain sciences , vol. 1, no. 4, pp. 515–526, 1978
1978
Earlier work this paper cites.
C. J. C. H. Watkins, “Learning from delayed rewards,” Ph.D. dissertation, King’s College, Cambridge, 1989
1989
Earlier work this paper cites.
R. J. Williams, “Simple statistical gradient-following algorithms for connectionist reinforcement learning,” Machine learning , vol. 8, no. 3-4, pp. 229–256, 1992
1992
Earlier work this paper cites.
M. Kinney and C. Tsatsoulis, “Learning communication strategies in multiagent systems,” Applied intelligence , vol. 9, no. 1, pp. 71–91, 1998
1998
Earlier work this paper cites.
C. Claus and C. Boutilier, “The dynamics of reinforcement learning in cooperative multiagent systems,” AAAI/IAAI , vol. 1998, 1998
1998
Earlier work this paper cites.
R. Blutner, “Some aspects of optimality in natural language interpretation,” Journal of semantics , vol. 17, no. 3, pp. 189–216, 2000
2000
Earlier work this paper cites.
D. S. Bernstein, R. Givan, N. Immerman, and S. Zilberstein, “The complexity of decentralized control of markov decision processes,” Mathematics of operations research , vol. 27, no. 4, pp. 819–840, 2002
2002
Earlier work this paper cites.
M. H. Christiansen and S. Kirby, “Language evolution: Consensus and controversies,” Trends in cognitive sciences , vol. 7, no. 7, 2003
2003
Earlier work this paper cites.
C. V. Goldman and S. Zilberstein, “Optimizing information exchange in cooperative multi-agent systems,” in Proceedings of the second international joint conference on Autonomous agents and multiagent systems . ACM, 2003, pp. 137–144
2003
Earlier work this paper cites.
C. V. Goldman, M. Allen, and S. Zilberstein, “Learning to communicate in a decentralized environment,” Autonomous agents and multi-agent systems , vol. 15, no. 1, pp. 47–90, 2007
2007
Earlier work this paper cites.
W. Yoshida, R. J. Dolan, and K. J. Friston, “Game theory of mind,” PLoS computational biology , vol. 4, no. 12, p. e1000254, 2008
2008
Earlier work this paper cites.
P. Doshi and P. J. Gmytrasiewicz, “Monte carlo sampling methods for approximating interactive pomdps,” Journal of Artificial Intelligence Research , vol. 34, pp. 297–337, 2009
2009
Earlier work this paper cites.
M. Frank, N. Goodman, P. Lai, and J. Tenenbaum, “Informative communication in word production and word learning,” in Proceedings of the annual meeting of the cognitive science society , vol. 31, no. 31, 2009
2009
Earlier work this paper cites.
D. Golland, P. Liang, and D. Klein, “A game-theoretic approach to generating spatial descriptions,” in Proceedings of the 2010 conference on empirical methods in natural language processing . Association for Computational Linguistics, 2010, pp. 410–419
2010
Earlier work this paper cites.
G. Jäger, “Game theory in semantics and pragmatics,” Semantics: An international handbook of natural language meaning , vol. 3, pp. 2487–2425, 2012
2012
Earlier work this paper cites.
M. C. Frank and N. D. Goodman, “Predicting pragmatic reasoning in language games,” Science , vol. 336, no. 6084, pp. 998–998, 2012
2012
Cited alongside, same era.
L. Bergen, N. Goodman, and R. Levy, “That’s what she (could have) said: How alternative utterances affect language use,” in Proceedings of the Annual Meeting of the Cognitive Science Society , vol. 34, no. 34, 2012
2012
Cited alongside, same era.
A. Vogel, M. Bodoia, C. Potts, and D. Jurafsky, “Emergence of gricean maxims from multi-agent decision theory,” in Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , 2013, pp. 1072–1081
2013
Cited alongside, same era.
H. De Weerd, R. Verbrugge, and B. Verheij, “Theory of mind in the mod game: An agent-based model of strategic reasoning.” in ECSI , 2014, pp. 128–136
2014
Cited alongside, same era.
H. de Weerd, D. Diepgrond, and R. Verbrugge, “Estimating the use of higher-order theory of mind using computational agents,” The BE Journal of Theoretical Economics , vol. 18, no. 2, 2017
2017
Later among the works it cites.
A. Lazaridou, A. Peysakhovich, and M. Baroni, “Multi-agent cooperation and the emergence of (natural) language,” in International Conference on Learning Representations , 2017. [Online]. Available: https://openreview.net/forum?id=Hk8N3Sclg
2017
Later among the works it cites.
2017
Later among the works it cites.
R. Lowe, Y. Wu, A. Tamar, J. Harb, O. P. Abbeel, and I. Mordatch, “Multi-agent actor-critic for mixed cooperative-competitive environments,” in Advances in Neural Information Processing Systems , 2017, pp. 6379–6390
2017
Later among the works it cites.
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T. Doliwa, G. Fan, H. U. Simon, and S. Zilles, “Recursive teaching dimension, vc-dimension and sample compression,” The Journal of Machine Learning Research , vol. 15, no. 1, pp. 3107–3131, 2014
2014
Cited alongside, same era.
P. Shafto, N. D. Goodman, and T. L. Griffiths, “A rational account of pedagogical reasoning: Teaching by, and learning from, examples,” Cognitive psychology , vol. 71, pp. 55–89, 2014
2014
Cited alongside, same era.
A. Vogel, A. Gomez Emilsson, M. C. Frank, D. Jurafsky, and C. Potts, “Learning to reason pragmatically with cognitive limitations,” in Proceedings of the Annual Meeting of the Cognitive Science Society , vol. 36, no. 36, 2014
2014
Cited alongside, same era.
H. De Weerd, R. Verbrugge, and B. Verheij, “Higher-order theory of mind in the tacit communication game,” Biologically Inspired Cognitive Architectures , vol. 11, pp. 10–21, 2015
2015
Cited alongside, same era.
J. Foerster, I. A. Assael, N. de Freitas, and S. Whiteson, “Learning to communicate with deep multi-agent reinforcement learning,” in Advances in Neural Information Processing Systems , 2016
2016
Cited alongside, same era.
N. D. Goodman and M. C. Frank, “Pragmatic language interpretation as probabilistic inference,” Trends in cognitive sciences , vol. 20, no. 11, pp. 818–829, 2016
2016
Cited alongside, same era.
S. Sukhbaatar, R. Fergus et al. , “Learning multiagent communication with backpropagation,” in Advances in Neural Information Processing Systems , 2016, pp. 2244–2252
2016
Cited alongside, same era.
X. Chen, Y. Cheng, and B. Tang, “On the recursive teaching dimension of vc classes,” in Advances in Neural Information Processing Systems , 2016, pp. 2164–2171
2016
Cited alongside, same era.
2017
Later among the works it cites.
R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, and M. A. Nowak, “Language acquisition with communication between learners,” Journal of The Royal Society Interface , vol. 15, no. 140, p. 20180073, 2018
2018
Later among the works it cites.
A. Lazaridou, K. M. Hermann, K. Tuyls, and S. Clark, “Emergence of linguistic communication from referential games with symbolic and pixel input,” in International Conference on Learning Representations , 2018. [Online]. Available: https://openreview.net/forum?id=HJGv1Z-AW
2018
Later among the works it cites.
J. N. Foerster, G. Farquhar, T. Afouras, N. Nardelli, and S. Whiteson, “Counterfactual multi-agent policy gradients,” in Thirty-Second AAAI Conference on Artificial Intelligence , 2018
2018
Later among the works it cites.
Y. Han and P. Gmytrasiewicz, “Learning others’ intentional models in multi-agent settings using interactive pomdps,” in Advances in Neural Information Processing Systems , 2018, pp. 5634–5642
2018
Later among the works it cites.
2018
Later among the works it cites.
F. Khani, N. D. Goodman, and P. Liang, “Planning, inference and pragmatics in sequential language games,” Transactions of the Association for Computational Linguistics , vol. 6, pp. 543–555, 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
J. Foerster, R. Y. Chen, M. Al-Shedivat, S. Whiteson, P. Abbeel, and I. Mordatch, “Learning with opponent-learning awareness,” in Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems . International Foundation for Autonomous Agents and Multiagent Systems, 2018, pp. 122–130
2018
Later among the works it cites.