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A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork.

R. Mirsky, W. Macke, A. Wang, H. Yedidsion, и P. Stone. IJCAI, стр. 254-260. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..

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Chritopher Stone

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Policy Gradient Reinforcement Learning for Fast Quadrupedal LocomotionN. Kohl, и P. Stone. Proceedings of the IEEE International Conference on Robotics and Automation, (мая 2004)CMUNITED-98M. Veloso, M. Bowling, S. Achim, K. Han, и P. Stone. The AI Magazine, 21 (1): 29--36 (2000)Decision-theoretic bidding based on learned density models in simultaneous, interacting auctionsP. Stone, R. Schapire, M. Littman, J. Csirik, и D. McAllester. Journal of Artificial Intelligence Research, (2003)Simultaneous Calibration of Action and Sensor Models on a Mobile Robot.D. Stronger, и P. Stone. ICRA, стр. 4563-4568. IEEE, (2005)Modeling uncertainty in leading ad hoc teams.N. Agmon, S. Barrett, и P. Stone. AAMAS, стр. 397-404. IFAAMAS/ACM, (2014)Reinforcement learning from simultaneous human and MDP reward.W. Knox, и P. Stone. AAMAS, стр. 475-482. IFAAMAS, (2012)Design Principles for Creating Human-Shapable Agents.W. Knox, I. Fasel, и P. Stone. AAAI Spring Symposium: Agents that Learn from Human Teachers, стр. 79-86. AAAI, (2009)Representative Selection in Non Metric Datasets.E. Liebman, B. Chor, и P. Stone. CoRR, (2015)Team-Partitioned, Opaque-Transition Reinforcement Learning.P. Stone, и M. Veloso. Agents, стр. 206-212. ACM, (1999)Comparing evolutionary and temporal difference methods in a reinforcement learning domain.M. Taylor, S. Whiteson, и P. Stone. GECCO, стр. 1321-1328. ACM, (2006)

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