Christopher Amato

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Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Frans A. OliehoekAssociate Professor at Delft University of TechnologyVerified email at tudelft.nl
Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Shayegan OmidshafieiGoogleVerified email at google.com
John VianVerified email at ieee.org
Mykel J. KochenderferAssociate Professor, Stanford UniversityVerified email at stanford.edu
Jilles S. DibangoyeAssociate Professor at INSA Lyon / Inria Grenoble Rhône-AlpesVerified email at insa-lyon.fr
Miao LiuIBMVerified email at mit.edu
Nazim Kemal UreIstanbul Technical UniversityVerified email at itu.edu.tr
Girish ChowdharyAssoc. Professor of RoboticsVerified email at illinois.edu
George KonidarisBrownVerified email at cs.brown.edu
Leslie KaelblingVerified email at csail.mit.edu
Ali-akbar Agha-mohammadiNASA-JPL, CaltechVerified email at jpl.nasa.gov
Yuchen XiaoNortheastern UniversityVerified email at husky.neu.edu
Matthijs T. J. SpaanDelft University of TechnologyVerified email at tudelft.nl
Sammie KattNortheastern UniversityVerified email at husky.neu.edu
François CharpilletINRIA - LORIAVerified email at inria.fr
Brett DaleyNortheastern UniversityVerified email at northeastern.edu
Shih-Yuan LiuPrincipal Research Scientist, MotionalVerified email at motional.com
Eric A. HansenDept. of Computer Science and Engineering, Mississippi State UniversityVerified email at cse.msstate.edu

Christopher Amato

Assistant Professor at Northeastern University

Verified email at ccs.neu.edu - Homepage

Artificial Intelligence Multi-Agent Systems Multi-Robot Systems Reinforcement Learning


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Decision making under uncertainty: theory and application MJ Kochenderfer, C Amato, G Chowdhary, JP How, HJD Reynolds, ... MIT press, 2015	545	2015
A concise introduction to decentralized POMDPs FA Oliehoek, C Amato Springer, 2016	433	2016
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	390	2017
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	132	2010
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	127	2009
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	124	2013
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	107	2013
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	100	2015
Scalable Planning and Learning for Multiagent POMDPs C Amato, FA Oliehoek AAAI Conference on Artificial Intelligence, 1995-2002, 2015	89	2015
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	81	2016
Optimizing memory-bounded controllers for decentralized POMDPs C Amato, DS Bernstein, S Zilberstein Proceedings of the Twenty-Third Conference on Uncertainty in Artificial …, 2007	80*	2007
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	79	2009
Learning to Teach in Cooperative Multiagent Reinforcement Learning S Omidshafiei, DK Kim, M Liu, G Tesauro, M Riemer, C Amato, ... AAAI, 2018	78	2018
High-level reinforcement learning in strategy games. C Amato, G Shani AAMAS 10, 75-82, 2010	78	2010
Planning with Macro-Actions in Decentralized POMDPs C Amato, GD Konidaris, LP Kaelbling International Conference on Autonomous Agents and Multiagent Systems, 2014	73	2014
Solving POMDPs using quadratically constrained linear programs C Amato, DS Bernstein, S Zilberstein Proceedings of the Twentieth International Joint Conference on Artificial …, 2007	66	2007
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	63	2017
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	63	2013
Achieving goals in decentralized POMDPs C Amato, S Zilberstein Proceedings of The 8th International Conference on Autonomous Agents and …, 2009	62	2009
Scaling up optimal heuristic search in Dec-POMDPs via incremental expansion MTJ Spaan, FA Oliehoek, C Amato International Joint Conference on Artificial Intelligence, 2011	59	2011

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