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Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are still inefficient and limited in terms of cooperating with each other or coordinating with vehicles operated by humans.
W. B. Liebrand and C. G. McClintock, “The ring measure of social values: A computerized procedure for assessing individual differences in information processing and social value orientation,” European journal of personality , vol. 2, no. 3, pp. 217–230, 1988
1988
Earlier work this paper cites.
M. Lauer and M. Riedmiller, “An algorithm for distributed reinforcement learning in cooperative multi-agent systems,” in In Proceedings of the Seventeenth International Conference on Machine Learning . Citeseer, 2000
2000
Earlier work this paper cites.
M. Treiber, A. Hennecke, and D. Helbing, “Congested traffic states in empirical observations and microscopic simulations,” Physical review E , vol. 62, no. 2, p. 1805, 2000
2000
Earlier work this paper cites.
P. Trautman and A. Krause, “Unfreezing the robot: Navigation in dense, interacting crowds,” in 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems . IEEE, 2010, pp. 797–803
2010
Earlier work this paper cites.
L. Matignon, G. J. Laurent, and N. Le Fort-Piat, “Independent reinforcement learners in cooperative markov games: a survey regarding coordination problems.” Knowledge Engineering Review , vol. 27, no. 1, pp. 1–31, 2012
2012
Earlier work this paper cites.
2013
Earlier work this paper cites.
M. Kuderer, S. Gulati, and W. Burgard, “Learning driving styles for autonomous vehicles from demonstration,” in 2015 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2015, pp. 2641–2646
2015
Earlier work this paper cites.
S. Nikolaidis, R. Ramakrishnan, K. Gu, and J. Shah, “Efficient model learning from joint-action demonstrations for human-robot collaborative tasks,” in 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 2015, pp. 189–196
2015
Earlier work this paper cites.
A. Garapin, L. Muller, and B. Rahali, “Does trust mean giving and not risking? experimental evidence from the trust game,” Revue d’économie politique , vol. 125, no. 5, pp. 701–716, 2015
2015
Earlier work this paper cites.
R. O. Murphy and K. A. Ackermann, “Social preferences, positive expectations, and trust based cooperation,” Journal of Mathematical Psychology , vol. 67, pp. 45–50, 2015
2015
Earlier work this paper cites.
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese, “Social lstm: Human trajectory prediction in crowded spaces,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 961–971
2016
Earlier work this paper cites.
D. Sadigh, S. Sastry, S. A. Seshia, and A. D. Dragan, “Planning for autonomous cars that leverage effects on human actions.” in Robotics: Science and Systems , vol. 2. Ann Arbor, MI, USA, 2016
2016
Earlier work this paper cites.
J. Foerster, N. Nardelli, G. Farquhar, T. Afouras, P. H. Torr, P. Kohli, and S. Whiteson, “Stabilising experience replay for deep multi-agent reinforcement learning,” in International conference on machine learning . PMLR, 2017, pp. 1146–1155
2017
Earlier work this paper cites.
J. K. Gupta, M. Egorov, and M. Kochenderfer, “Cooperative multi-agent control using deep reinforcement learning,” in International Conference on Autonomous Agents and Multiagent Systems . Springer, 2017, pp. 66–83
2017
Earlier work this paper cites.
S. Omidshafiei, J. Pazis, C. Amato, J. P. How, and J. Vian, “Deep decentralized multi-task multi-agent reinforcement learning under partial observability,” in International Conference on Machine Learning . PMLR, 2017, pp. 2681–2690
2017
Cited alongside, same era.
A. Kuefler, J. Morton, T. Wheeler, and M. Kochenderfer, “Imitating driver behavior with generative adversarial networks,” in 2017 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 2017, pp. 204–211
2017
Cited alongside, same era.
Y. F. Chen, M. Everett, M. Liu, and J. P. How, “Socially aware motion planning with deep reinforcement learning,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 1343–1350
2017
Cited alongside, same era.
C. Wu, A. Kreidieh, E. Vinitsky, and A. M. Bayen, “Emergent behaviors in mixed-autonomy traffic,” in Conference on Robot Learning . PMLR, 2017, pp. 398–407
2017
Cited alongside, same era.
R. Valiente, M. Zaman, S. Ozer, and Y. P. Fallah, “Controlling steering angle for cooperative self-driving vehicles utilizing cnn and lstm-based deep networks,” in 2019 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 2019, pp. 2423–2428
2019
Later among the works it cites.
2019
Later among the works it cites.
D. Sadigh, “Influencing interactions between human drivers and autonomous vehicles,” in Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2019 Symposium . National Academies Press, 2020
2020
Later among the works it cites.
A. Xie, D. Losey, R. Tolsma, C. Finn, and D. Sadigh, “Learning latent representations to influence multi-agent interaction,” in Proceedings of the 4th Conference on Robot Learning (CoRL) , November 2020
2020
Later among the works it cites.
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J. Foerster, G. Farquhar, T. Afouras, N. Nardelli, and S. Whiteson, “Counterfactual multi-agent policy gradients,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 32, no. 1, 2018
2018
Cited alongside, same era.
H. N. Mahjoub, B. Toghi, and Y. P. Fallah, “A stochastic hybrid framework for driver behavior modeling based on hierarchical dirichlet process,” in 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) , 2018, pp. 1–5
2018
Cited alongside, same era.
E. Schmerling, K. Leung, W. Vollprecht, and M. Pavone, “Multimodal probabilistic model-based planning for human-robot interaction,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 3399–3406
2018
Cited alongside, same era.
C. Wu, A. M. Bayen, and A. Mehta, “Stabilizing traffic with autonomous vehicles,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 6012–6018
2018
Cited alongside, same era.
E. Vinitsky, A. Kreidieh, L. Le Flem, N. Kheterpal, K. Jang, C. Wu, F. Wu, R. Liaw, E. Liang, and A. M. Bayen, “Benchmarks for reinforcement learning in mixed-autonomy traffic,” in Conference on robot learning . PMLR, 2018, pp. 399–409
2018
Cited alongside, same era.
2018
Cited alongside, same era.
B. Toghi, M. Saifuddin, H. N. Mahjoub, M. Mughal, Y. P. Fallah, J. Rao, and S. Das, “Multiple access in cellular v2x: Performance analysis in highly congested vehicular networks,” in 2018 IEEE Vehicular Networking Conference (VNC) . IEEE, 2018, pp. 1–8
2018
Cited alongside, same era.
W. Schwarting, A. Pierson, J. Alonso-Mora, S. Karaman, and D. Rus, “Social behavior for autonomous vehicles,” Proceedings of the National Academy of Sciences , vol. 116, no. 50, pp. 24 972–24 978, 2019
2019
Cited alongside, same era.
B. Toghi, D. Grover, M. Razzaghpour, R. Jain, R. Valiente, M. Zaman, G. Shah, and Y. P. Fallah, “A maneuver-based urban driving dataset and model for cooperative vehicle applications,” 2020
2020
Later among the works it cites.
N. Tsoi, M. Hussein, J. Espinoza, X. Ruiz, and M. Vázquez, “Sean: Social environment for autonomous navigation,” in Proceedings of the 8th International Conference on Human-Agent Interaction , 2020, pp. 281–283
2020
Later among the works it cites.
E. Emad Marvasti, A. Raftari, Y. P. Fallah, R. Guo, and H. Lu, “Feature sharing and integration for cooperative cognition and perception with volumetric sensors,” arXiv e-prints , pp. arXiv–2011, 2020
2020
Later among the works it cites.
A. Kesting, M. Treiber, and D. Helbing, “General lane-changing model mobil for car-following models,” Transportation Research Record , vol. 1999, no. 1, pp. 86–94, 2007
2020
Later among the works it cites.
B. Toghi, R. Valiente, D. Sadigh, R. Pedarsani, and Y. P. Fallah, “Altruistic maneuver planning for cooperative autonomous vehicles using multi-agent advantage actor-critic,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , 2021
2021
Closest in time.
——, “Cooperative autonomous vehicles that sympathize with human drivers,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2021
2021
Closest in time.
A. Shih, A. Sawhney, J. Kondic, S. Ermon, and D. Sadigh, “On the critical role of conventions in adaptive human-ai collaboration,” in 9th International Conference on Learning Representations (ICLR) , 2021
2021
Closest in time.
W. Z. Wang, M. Beliaev, E. Biyik, D. A. Lazar, R. Pedarsani, and D. Sadigh, “Emergent prosociality in multi-agent games through gifting,” in 30th International Joint Conference on Artificial Intelligence (IJCAI) , 2021
2021
Closest in time.
D. Silver, S. Singh, D. Precup, and R. S. Sutton, “Reward is enough,” Artificial Intelligence , p. 103535, 2021
2021
Closest in time.