Christopher Amato

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Coauteurs

Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Frans A. OliehoekAssociate Professor at Delft University of TechnologyAdresse e-mail validée de tudelft.nl
Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Shayegan OmidshafieiGoogle DeepMindAdresse e-mail validée de mit.edu
Mykel J. KochenderferAssociate Professor, Stanford UniversityAdresse e-mail validée de stanford.edu
Jilles S. DibangoyeAssociate Professor at INSA Lyon / Inria Grenoble Rhône-AlpesAdresse e-mail validée de insa-lyon.fr
George KonidarisBrownAdresse e-mail validée de cs.brown.edu
Leslie KaelblingAdresse e-mail validée de csail.mit.edu
Miao LiuIBMAdresse e-mail validée de mit.edu
Girish ChowdharyDonald Biggar Willet Faculty Fellow, Professor of Agricultural Engineering and Computer ScienceAdresse e-mail validée de illinois.edu
Nazim Kemal UreIstanbul Technical UniversityAdresse e-mail validée de itu.edu.tr
Ali-akbar Agha-mohammadiNASA-JPL, CaltechAdresse e-mail validée de jpl.nasa.gov
Matthijs T. J. SpaanDelft University of TechnologyAdresse e-mail validée de tudelft.nl
François CharpilletINRIA - LORIAAdresse e-mail validée de inria.fr
Shih-Yuan LiuPrincipal Research Scientist @ nuTonomyAdresse e-mail validée de nutonomy.com
Sammie KattNortheastern UniversityAdresse e-mail validée de husky.neu.edu
Yuchen XiaoNortheastern UniversityAdresse e-mail validée de husky.neu.edu
Arnaud DoniecIMT Lille DouaiAdresse e-mail validée de imt-lille-douai.fr
Eric A. HansenDept. of Computer Science and Engineering, Mississippi State UniversityAdresse e-mail validée de cse.msstate.edu
Kavinayan SivakumarDuke University, Alumnus of Princeton UniversityAdresse e-mail validée de princeton.edu

Christopher Amato

Assistant Professor at Northeastern University

Adresse e-mail validée de ccs.neu.edu - Page d'accueil

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


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Decision making under uncertainty: theory and application MJ Kochenderfer, C Amato, G Chowdhary, JP How, HJD Reynolds, ... MIT press, 2015	358	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	217*	2017
A concise introduction to decentralized POMDPs FA Oliehoek, C Amato Springer International Publishing, 2016	179	2016
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	109	2009
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	108	2010
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	95	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	87	2015
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	78	2013
Optimizing memory-bounded controllers for decentralized POMDPs C Amato, DS Bernstein, S Zilberstein Proceedings of the Twenty-Third Conference on Uncertainty in Artificial …, 2007	74*	2007
Scalable Planning and Learning for Multiagent POMDPs C Amato, FA Oliehoek AAAI Conference on Artificial Intelligence, 1995-2002, 2015	73	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	71	2016
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	68	2009
High-level reinforcement learning in strategy games C Amato, G Shani Proceedings of the 9th International Conference on Autonomous Agents and …, 2010	64	2010
Solving POMDPs using quadratically constrained linear programs C Amato, DS Bernstein, S Zilberstein Proceedings of the Twentieth International Joint Conference on Artificial …, 2007	62	2007
Planning with Macro-Actions in Decentralized POMDPs C Amato, GD Konidaris, LP Kaelbling International Conference on Autonomous Agents and Multiagent Systems, 2014	61	2014
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	56	2013
Scaling up optimal heuristic search in Dec-POMDPs via incremental expansion MTJ Spaan, FA Oliehoek, C Amato International Joint Conference on Artificial Intelligence, 2011	56	2011
Achieving goals in decentralized POMDPs C Amato, S Zilberstein Proceedings of The 8th International Conference on Autonomous Agents and …, 2009	54	2009
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	46	2015
Finite-state controllers based on mealy machines for centralized and decentralized POMDPs C Amato, B Bonet, S Zilberstein Proceedings of the Twenty-Fourth National Conference on Artificial …, 2010	42	2010

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