Takip et
Christopher Amato
Christopher Amato
Diğer adlarChris Amato
Associate Professor at Northeastern University
ccs.neu.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
A concise introduction to decentralized POMDPs
FA Oliehoek, C Amato
Springer International Publishing, 2016
12612016
Decision making under uncertainty: theory and application
MJ Kochenderfer, C Amato, G Chowdhary, JP How, HJD Reynolds, ...
MIT press, 2015
7932015
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
6472017
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
1662013
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
1612010
Planning with Macro-Actions in Decentralized POMDPs
C Amato, GD Konidaris, LP Kaelbling
International Conference on Autonomous Agents and Multiagent Systems, 2014
155*2014
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
1542013
Learning to Teach in Cooperative Multiagent Reinforcement Learning
S Omidshafiei, DK Kim, M Liu, G Tesauro, M Riemer, C Amato, ...
AAAI, 2018
1532018
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
1422021
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
1372009
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
1312015
Scalable Planning and Learning for Multiagent POMDPs
C Amato, FA Oliehoek
AAAI Conference on Artificial Intelligence, 1995-2002, 2015
1292015
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
972016
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
902017
Learning in POMDPs with Monte Carlo Tree Search
S Katt, FA Oliehoek, C Amato
ICML, 2017
902017
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
902009
Optimizing memory-bounded controllers for decentralized POMDPs
C Amato, DS Bernstein, S Zilberstein
Proceedings of the Twenty-Third Conference on Uncertainty in Artificial …, 2007
90*2007
Safe Multi-Agent Reinforcement Learning via Shielding
I Elsayed-Aly, S Bharadwaj, C Amato, R Ehlers, U Topcu, L Feng
Autonomous Agents and Multi-Agent Systems (AAMAS), 2021
892021
High-level reinforcement learning in strategy games.
C Amato, G Shani
AAMAS 10, 75-82, 2010
872010
Online planning for target object search in clutter under partial observability
Y Xiao, S Katt, A ten Pas, S Chen, C Amato
2019 International Conference on Robotics and Automation (ICRA), 8241-8247, 2019
832019
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Makaleler 1–20