Christopher Amato
Christopher Amato
Assistant Professor at Northeastern University
Vahvistettu sähköpostiosoite verkkotunnuksessa ccs.neu.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Decision making under uncertainty: theory and application
MJ Kochenderfer, C Amato, G Chowdhary, JP How, HJD Reynolds, ...
MIT press, 2015
4342015
Deep Decentralized Multi-task Multi-Agent RL under Partial Observability
S Omidshafiei, J Pazis, C Amato, JP How, J Vian
International Conference on Machine Learning, 2681-2690, 2017
2692017
A concise introduction to decentralized POMDPs
FA Oliehoek, C Amato
Springer, 2016
2452016
Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs
C Amato, DS Bernstein, S Zilberstein
Autonomous Agents and Multi-Agent Systems 21 (3), 293-320, 2010
1202010
Policy iteration for decentralized control of Markov decision processes
DS Bernstein, C Amato, EA Hansen, S Zilberstein
Journal of Artificial Intelligence Research 34 (1), 89, 2009
1152009
Decentralized Control of Partially Observable Markov Decision Processes
C Amato, G Chowdhary, A Geramifard, NK Ure, M Kochenderfer
Proceedings of the Fifty-Second IEEE Conference on Decision and Control (CDC-13), 2013
1092013
Optimally Solving Dec-POMDPs as Continuous-State MDPs
JS Dibangoye, C Amato, O Buffet, F Charpillet
Proceedings of the Twenty-Third International Joint Conference on Artificial …, 2013
952013
Planning for Decentralized Control of Multiple Robots Under Uncertainty
C Amato, G Konidaris, G Cruz, CA Maynor, JP How, LP Kaelbling
IEEE International Conference on Robotics and Automation, 2015
932015
Optimizing memory-bounded controllers for decentralized POMDPs
C Amato, DS Bernstein, S Zilberstein
Proceedings of the Twenty-Third Conference on Uncertainty in Artificial …, 2007
78*2007
Policy search for multi-robot coordination under uncertainty
C Amato, G Konidaris, A Anders, G Cruz, JP How, LP Kaelbling
The International Journal of Robotics Research 35 (14), 1760-1778, 2016
762016
Scalable Planning and Learning for Multiagent POMDPs
C Amato, FA Oliehoek
AAAI Conference on Artificial Intelligence, 1995-2002, 2015
762015
Incremental policy generation for finite-horizon DEC-POMDPs
C Amato, JS Dibangoye, S Zilberstein
Proc. of the 19th Int’l Conf. on Automated Planning and Scheduling, 2-9, 2009
752009
High-level reinforcement learning in strategy games.
C Amato, G Shani
AAMAS 10, 75-82, 2010
682010
Solving POMDPs using quadratically constrained linear programs
C Amato, DS Bernstein, S Zilberstein
Proceedings of the Twentieth International Joint Conference on Artificial …, 2007
672007
Planning with Macro-Actions in Decentralized POMDPs
C Amato, GD Konidaris, LP Kaelbling
International Conference on Autonomous Agents and Multiagent Systems, 2014
622014
Incremental clustering and expansion for faster optimal planning in Dec-POMDPs
FA Oliehoek, MTJ Spaan, C Amato, S Whiteson
Journal of Artificial Intelligence Research 46, 449-509, 2013
602013
Scaling up optimal heuristic search in Dec-POMDPs via incremental expansion
MTJ Spaan, FA Oliehoek, C Amato
International Joint Conference on Artificial Intelligence, 2011
582011
Achieving goals in decentralized POMDPs
C Amato, S Zilberstein
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
582009
Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions
S Omidshafiei, AA Agha–Mohammadi, C Amato, SY Liu, JP How, J Vian
The International Journal of Robotics Research 36 (2), 231-258, 2017
502017
Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions
S Omidshafiei, A Agha-mohammadi, C Amato, JP How
IEEE International Conference on Robotics and Automation, 2015
502015
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Artikkelit 1–20