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
John VianVerified email at ieee.org
Shayegan OmidshafieiGoogle (previously: DeepMind, MIT)Verified email at google.com
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
Yuchen XiaoResearch Scientist, J.P. Morgan AI Research | Ph.D. Northeastern UniversityVerified email at northeastern.edu
Nazim Kemal UreIstanbul Technical UniversityVerified email at itu.edu.tr
Miao LiuIBMVerified email at ibm.com
Brett DaleyUniversity of AlbertaVerified email at ualberta.ca
Girish ChowdharyAssoc. Professor of RoboticsVerified email at illinois.edu
George KonidarisBrownVerified email at cs.brown.edu
Leslie KaelblingVerified email at csail.mit.edu
Sammie KattNortheastern UniversityVerified email at husky.neu.edu
Ali-akbar Agha-mohammadiNASA-JPL, CaltechVerified email at jpl.nasa.gov
Andrea BaiseroPhD student, Northeastern UniversityVerified email at northeastern.edu
Matthijs T. J. SpaanDelft University of TechnologyVerified email at tudelft.nl
François CharpilletINRIA - LORIAVerified email at inria.fr
Olivier Buffetresearcher, INRIA, NancyVerified email at loria.fr

Christopher Amato

Other namesChris Amato

Associate 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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A concise introduction to decentralized POMDPs FA Oliehoek, C Amato Springer International Publishing, 2016	954	2016
Decision making under uncertainty: theory and application MJ Kochenderfer, C Amato, G Chowdhary, JP How, HJD Reynolds, ... MIT press, 2015	697	2015
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	554	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	152	2010
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	138	2013
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	137	2013
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	134	2009
Planning with Macro-Actions in Decentralized POMDPs C Amato, GD Konidaris, LP Kaelbling International Conference on Autonomous Agents and Multiagent Systems, 2014	131*	2014
Learning to Teach in Cooperative Multiagent Reinforcement Learning S Omidshafiei, DK Kim, M Liu, G Tesauro, M Riemer, C Amato, ... AAAI, 2018	125	2018
Scalable Planning and Learning for Multiagent POMDPs C Amato, FA Oliehoek AAAI Conference on Artificial Intelligence, 1995-2002, 2015	116	2015
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	115	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	90	2016
High-level reinforcement learning in strategy games. C Amato, G Shani AAMAS 10, 75-82, 2010	88	2010
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	87	2009
Optimizing memory-bounded controllers for decentralized POMDPs C Amato, DS Bernstein, S Zilberstein Proceedings of the Twenty-Third Conference on Uncertainty in Artificial …, 2007	86*	2007
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning X Lyu, Y Xiao, B Daley, C Amato Autonomous Agents and Multi-Agent Systems (AAMAS), 2021	83	2021
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	79	2017
Learning in POMDPs with Monte Carlo Tree Search S Katt, FA Oliehoek, C Amato ICML, 2017	73	2017
Solving POMDPs using quadratically constrained linear programs C Amato, DS Bernstein, S Zilberstein Proceedings of the Twentieth International Joint Conference on Artificial …, 2007	72	2007
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	69	2015

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