@inproceedings{AAMAS23, author = {Marchesini, Enrico and Marzari, Luca and Farinelli, Alessandro and Amato, Christopher}, title = {Safe Deep Reinforcement Learning by Verifying Task-Level Properties}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, year = {2023} }
@inproceedings{ICLR23, author = {Marchesini, Enrico and Amato, Christopher}, title = {Improving Deep Policy Gradients with Value Function Search}, booktitle = {International Conference on Learning Representations}, year = {2023} }
@inproceedings{ICML23, author = {Daley, Brett and White, Martha and Amato, Christopher and Machado, Marlos C.}, title = {Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning}, booktitle = {Proceedings of the International Conference on Machine Learning}, year = {2023} }
@inproceedings{ICRA23, author = {Marzari, Luca and Marchesini, Enrico and Farinelli, Alessandro}, title = {Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, year = {2023} }
@article{JAIR23, author = {Lyu, Xueguang and Baisero, Andrea and Xiao, Yuchen and Daley, Brett and Amato, Christopher}, title = {On Centralized Critics in Multi-Agent Reinforcement Learning}, journal = {Journal of Artificial Intelligence Research}, year = {2023}, volume = {77}, pages = {235-294} }
@inproceedings{GECCO22, title = {Safety-Informed Mutations for Evolutionary Deep Reinforcement Learning}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion}, author = {Marchesini, Enrico and Amato, Christopher}, year = {2022} }
@inproceedings{NeurIPS22Xiao, title = {Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning}, booktitle = {Advances in Neural Information Processing Systems}, author = {Xiao, Yuchen and Tan, Weihao and Amato, Christopher}, year = {2022} }
@inproceedings{NeurIPS22Melcer, title = {Shield Decentralization for Safe Multi-Agent Reinforcement Learning}, booktitle = {Advances in Neural Information Processing Systems}, author = {Melcer, Daniel and Tripakis, Stavros and Amato, Christopher}, year = {2022} }
@inproceedings{CORL22, title = {Leveraging Fully Observable Policies for Learning under Partial Observability}, booktitle = {Proceedings of the Conference on Robot Learning}, author = {Nguyen, Hai and Baisero, Andrea and Wang, Dian and Amato, Christopher and Platt, Robert}, year = {2022} }
@inproceedings{UAI22, title = {Asymmetric {DQN} for Partially Observable Reinforcement Learning}, booktitle = {Proceedings of the Conference on Uncertainty in Artificial Intelligence}, author = {Baisero, Andrea and Daley, Brett and Amato, Christopher}, year = {2022} }
@inproceedings{AAMAS22Baisero, title = {Unbiased Asymmetric Reinforcement Learning under Partial Observability}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, author = {Baisero, Andrea and Amato, Christopher}, year = {2022} }
@inproceedings{AAMAS22Katt, title = {{BADDr}: Bayes-Adaptive Deep Dropout RL for POMDPs}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, author = {Katt, Sammie and Nguyen, Hai and Oliehoek, Frans and Amato, Christopher}, year = {2022} }
@inproceedings{AAAI22, title = {A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, author = {Lyu, Xueguang and Xiao, Yuchen and Baisero, Andrea and Amato, Christopher}, year = {2022} }
@inproceedings{WAFR22, title = {Hierarchical Reinforcement Learning under Mixed Observability}, booktitle = {Proceedings of the International Workshop on the Algorithmic Foundations of Robotics}, author = {Nguyen, Hai and Yang, Zhihan and Baisero, Andrea and Ma, Xiao and Platt, Robert and Amato, Christopher}, year = {2022} }
@inproceedings{IRMAS21, title = {Multi-Agent Reinforcement Learning with Directed Exploration and Selective Memory Reuse}, booktitle = {Proceedings of the Intelligent Robotics and Multi-Agent Systems Track at the ACM Symposium on Applied Computing}, author = {Jiang, Shuo and Amato, Christopher}, year = {2021} }
@inproceedings{AAMAS21Ingy, title = {Safe Multi-Agent Reinforcement Learning via Shielding}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, author = {Elsayed-Aly, Ingy and Bharadwaj, Suda and Amato, Christopher and Ehlers, R{\"u}diger and Topcu, Ufuk and Feng, Lu}, year = {2021} }
@inproceedings{AAMAS21Luke, title = {Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, author = {Lyu, Xueguang and Xiao, Yuchen and Daley, Brett and Amato, Christopher}, year = {2021} }
@inproceedings{ICRA21, title = {End-to-End Grasping Policies for Human-in-the-Loop Robots via Deep Reinforcement Learning}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, author = {Sharif, Mohammadreza and Erdogmus, Deniz and Amato, Christopher and Padir, Taskin}, year = {2021} }
@inproceedings{IJCAI21, title = {Reconciling Rewards with Predictive State Representations}, booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence}, author = {Baisero, Andrea and Amato, Christopher}, year = {2021} }
@inproceedings{MRS21, title = {Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning}, booktitle = {Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems}, author = {Xiao, Yuchen and Lyu, Xueguang and Amato, Christopher}, year = {2021} }
@inproceedings{ICRA20, title = {Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-net}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, author = {Xiao, Yuchen and Hoffman, Joshua and Xia, Tian and Amato, Christopher}, year = {2020} }
@inproceedings{AAMAS20, title = {Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, author = {Lyu, Xueguang and Amato, Christopher}, year = {2020} }
@inproceedings{DAI20, title = {Hybrid Independent Learning in Cooperative Markov Games}, booktitle = {Proceedings of the International Conference on Distributed Artificial Intelligence}, author = {Yehoshua, Roi and Amato, Christopher}, year = {2020} }
@inproceedings{IROS20, title = {To Ask or Not to Ask: A User Annoyance Aware Preference Elicitation Framework for Social Robots}, booktitle = {Proceedings of {IEEE/RSJ} International Conference on Intelligent Robots and Systems}, author = {Gucsi, Balint and Tarapore, Danesh and Yeoh, William and Amato, Christopher and Tran-Thanh, Long}, year = {2020} }
@inproceedings{BioRob20, title = {Towards End-to-End Control of a Robot Prosthetic Hand via Reinforcement Learning}, booktitle = {Proceedings of the {IEEE RAS/EMBS} International Conference on Biomedical Robotics and Biomechatronics}, author = {Sharif, Mohammadreza and Erdogmus, Deniz and Amato, Christopher and Padir, Taskin}, year = {2020} }
@inproceedings{CoRL20Hai, title = {Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability}, booktitle = {Proceedings of the Conference on Robot Learning}, author = {Nguyen, Hai and Daley, Brett and Song, Xinchao and Amato, Christopher and Platt, Robert}, year = {2020} }
@inproceedings{CoRL20Chen, title = {Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps}, booktitle = {Proceedings of the Conference on Robot Learning}, author = {Xu, Chengguang and Amato, Christopher and Wong, Lawson}, year = {2020} }
@inproceedings{daley2019reconciling, title = {Reconciling $\lambda$-Returns with Experience Replay}, author = {Daley, Brett and Amato, Christopher}, booktitle = {Advances in Neural Information Processing Systems}, pages = {1133--1142}, year = {2019} }
@inproceedings{xiao_corl_2019, author = {Xiao, Yuchen and Hoffman, Joshua and Amato, Christopher}, title = {Macro-Action-Based Deep Multi-Agent Reinforcement Learning}, booktitle = {3rd Annual Conference on Robot Learning}, year = {2019} }
@inproceedings{AAAI19, author = {Omidshafiei, Shayegan and Kim, Dong-Ki and Liu, Miao and Tesauro, Gerald and Riemer, Matthew and Amato, Christopher and Campbell, Murray and How, Jonathan}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, title = {Learning to Teach in Cooperative Multiagent Reinforcement Learning}, year = {2019} }
@article{JAIR19, author = {Amato, Christopher and Konidaris, George and How, Jonathan P. and Kaelbling, Leslie P.}, title = {Modeling and Planning with Macro-Actions in Decentralized {POMDPs}}, journal = {Journal of Artificial Intelligence Research}, year = {2019}, volume = {64}, pages = {817-859} }
@inproceedings{ICRA19, title = {Online Planning for Target Object Search in Clutter under Partial Observability.}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, author = {Xiao, Yuchen and Katt, Sammie and ten Pas, Andreas and Chen, Shengjian and Amato, Christopher}, year = {2019} }
@inproceedings{katt2018bayesian, author = {Katt, Sammie and Oliehoek, Frans and Amato, Christopher}, title = {Bayesian Reinforcement Learning in Factored POMDPs}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, year = {2019} }
@inproceedings{Recsys18, title = {The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games}, booktitle = {Proceedings of the ACM Conference on Recommender Systems}, author = {Chen, Zhengxing and Nguyen, Truong-Huy D. and Xu, Yuyu and Amato, Christopher and Cooper, Seth and Sun, Yizhou and El-Nasr, Magy Seif}, year = {2018} }
@inproceedings{CIG18, title = {{Q-DeckRec}: A Fast Deck Recommendation System for Collectible Card Games.}, booktitle = {Proceedings of the IEEE Conference on Computational Intelligence and Games}, author = {Chen, Zhengxing and Amato, Christopher and Nguyen, Truong-Huy D. and Cooper, Seth and Sun, Yizhou and El-Nasr, Magy Seif}, year = {2018} }
@inproceedings{IJCAI18, title = {Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning}, booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence}, author = {Amato, Christopher}, year = {2018} }
@inproceedings{hoang_near-optimal_2017, title = {Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, author = {Hoang, Trong Nghia and Xiao, Yuchen and Sivakumar, Kavinayan and Amato, Christopher and How, Jonathan}, year = {2018} }
@inproceedings{pmlr-v70-katt17a, title = {Learning in {POMDP}s with {M}onte {C}arlo Tree Search}, author = {Katt, Sammie and Oliehoek, Frans A. and Amato, Christopher}, booktitle = {Proceedings of the International Conference on Machine Learning}, pages = {1819--1827}, year = {2017} }
@article{IJRR17DecPOSMDP, author = {Omidshafiei, Shayegan and Agha-mohammadi, {Ali-akbar} and Amato, Christopher and How, Jonathan P.}, journal = {The International Journal of Robotics Research}, title = {Decentralized Control of Multi-Robot Partially Observable Markov Decision Processes using Belief Space Macro-actions}, volume = {36}, number = {2}, pages = {231--258}, year = {2017} }
@article{IJRR17MacDec, author = {Amato, Christopher and Konidaris, George D. and Anders, Ariel and Cruz, Gabriel and How, Jonathan P. and Kaelbling, Leslie P.}, journal = {The International Journal of Robotics Research}, title = {Policy Search for Multi-Robot Coordination under Uncertainty}, volume = {35}, number = {14}, pages = {1760--1778}, year = {2017} }
@inproceedings{ICRA17Continuous, author = {Omidshafiei, Shayegan and Amato, Christopher and Liu, Miao and How, Jonathan P. and Vian, John}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, title = {Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces}, pages = {863-870}, year = {2017} }
@inproceedings{ICRA17MacroObs, author = {Omidshafiei, Shayegan and Liu, Shih-Yuan and Everett, Michael and Lopez, Brett and Amato, Christopher and Liu, Miao and How, Jonathan P. and Vian., John}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, title = {Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations}, pages = {871-878}, year = {2017} }
@article{JAIR16, author = {Dibangoye, Jilles S. and Amato, Christopher and Buffet, Olivier and Charpillet, Fran\c{c}ois}, title = {Optimally Solving {Dec-POMDPs} as Continuous-State {MDPs}}, journal = {Journal of Artificial Intelligence Research}, year = {2016}, volume = {55}, pages = {443-497} }
@inproceedings{AAAI16, author = {Liu, Miao and Amato, Christopher and Anesta, Emily and Griffith, J. Daniel and How, Jonathan P.}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, title = {Learning for Decentralized Control of Multiagent Systems in Large Partially Observable Stochastic Environments}, pages = {2523--2529}, year = {2016} }
@inproceedings{ICRA16, author = {Omidshafiei, Shayegan and Agha-mohammadi, {Ali-akbar} and Amato, Christopher and Liu, Shih-Yuan and How, Jonathan P. and Vian, John}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, title = {Graph-based Cross Entropy Method for Solving Multi-Robot Decentralized {POMDPs}}, year = {2016} }
@book{Book16, title = {A Concise Introduction to Decentralized POMDPs}, author = {Oliehoek, Frans A. and Amato, Christopher}, publisher = {Springer}, year = {2016} }
@inproceedings{AAAI15, author = {Amato, Christopher and Oliehoek, Frans A.}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, title = {Scalable Planning and Learning for Multiagent {POMDPs}}, year = {2015} }
@inproceedings{ICRA15MacDec, author = {Amato, Christopher and Konidaris, George D. and Cruz, Gabriel and Maynor, Christopher A. and How, Jonathan P. and Kaelbling, Leslie P.}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, title = {Planning for Decentralized Control of Multiple Robots Under Uncertainty}, pages = {1241--1248}, year = {2015} }
@inproceedings{ICRA15DecPOSMDP, author = {Omidshafiei, Shayegan and Agha-mohammadi, {Ali-akbar} and Amato, Christopher and How, Jonathan P.}, booktitle = {Proceedings of the International Conference on Robotics and Automation}, title = {Decentralized Control of Partially Observable {Markov} Decision Processes using Belief Space Macro-actions}, pages = {5962--5969}, year = {2015} }
@inproceedings{IJCAI15, author = {Liu, Miao and Amato, Christopher and Liao, Xuejun and Carin, Lawrence and How, Jonathan P.}, booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence}, title = {Stick-Breaking Policy Learning in {Dec-POMDPs}}, pages = {2011--2017}, year = {2015} }
@inproceedings{RSS15, author = {Amato, Christopher and Konidaris, George D. and Anders, Ariel and Cruz, Gabriel and How, Jonathan P. and Kaelbling, Leslie P.}, booktitle = {Robotics: Science and Systems}, title = {Policy Search for Multi-Robot Coordination under Uncertainty}, year = {2015} }
@incollection{Bookchapter15, author = {Amato, Christopher}, title = {Cooperative Decision Making}, editor = {Kochenderfer, Mykel J.}, booktitle = {Decision Making Under Uncertainty: Theory and Application}, publisher = {MIT Press}, optaddress = {Cambridge, MA}, year = {2015} }
@inproceedings{Oliehoek14MSDM, author = {A.\ Oliehoek, Frans and Amato, Christopher}, title = {Best Response {Bayesian} Reinforcement Learning for Multiagent Systems with State Uncertainty}, booktitle = {Proceedings of the Workshop on Multi-Agent Sequential Decision Making in Uncertain Domains ({MSDM}) at {AAMAS}}, year = {2014} }
@inproceedings{AAMAS14DABC, author = {Dibangoye, Jilles S. and Amato, Christopher and Buffet, Olivier and Charpillet, Fran\c{c}ois}, title = {Exploiting Separability in Multi-Agent Planning with Continuous-State {MDPs}}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, year = {2014}, optaddress = {Paris, France} }
@inproceedings{AAMAS14AKK, author = {Amato, Christopher and Konidaris, George D. and Kaelbling, Leslie P.}, title = {Planning with Macro-Actions in Decentralized {POMDPs}}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, year = {2014}, optaddress = {Paris, France} }
@inproceedings{AAMAS13, author = {Dibangoye, Jilles S. and Amato, Christopher and Doniec, Arnaud and Charpillet, Fran\c{c}ois}, title = {Producing Efficient Error-bounded Solutions for Transition Independent Decentralized {MDPs}}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, year = {2013}, address = {Saint Paul, MN} }
@inproceedings{IJCAI13, author = {Dibangoye, Jilles S. and Amato, Christopher and Buffet, Olivier and Charpillet, Fran\c{c}ois}, title = {Optimally Solving {Dec-POMDPs} as Continuous-State {MDPs}}, booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence}, year = {2013}, address = {Beijing, China} }
@article{JAIR13, author = {Oliehoek, Frans A. and Spaan, Matthijs T. J. and Amato, Christopher and Whiteson, Shimon}, title = {Incremental Clustering and Expansion for Faster Optimal Planning in {Dec-POMDPs}}, journal = {Journal of Artificial Intelligence Research}, volume = {46}, pages = {449-509}, year = {2013} }
@inproceedings{MSDM13, author = {Amato, Christopher and Oliehoek, Frans A.}, booktitle = {Proceedings of the Workshop on Multi-Agent Sequential Decision Making in Uncertain Domains (MSDM) at AAMAS}, title = {Bayesian Reinforcement Learning for Multiagent Systems with State Uncertainty}, year = {2013}, pages = {76--83}, note = {} }
@inproceedings{CDC13, author = {Amato, Christopher and Chowdhary, Girish and Geramifard, Alborz and Ure, Nazim Kemal and Kochenderfer, Mykel J.}, booktitle = {Proceedings of the IEEE Conference on Decision and Control}, title = {Decentralized Control of Partially Observable {M}arkov Decision Processes}, optaddress = {Florence, Italy}, pages = {2398--2405}, year = {2013} }
@inproceedings{UAI12, author = {Dibangoye, Jilles S. and Amato, Christopher and Doniec, Arnaud}, title = {Scaling Up Decentralized {MDPs} Through Heuristic Search}, booktitle = {Proceedings of the Conference on Uncertainty in Artificial Intelligence}, year = {2012}, address = {Catalina Island, CA} }
@inproceedings{IAAI12, author = {Kapoor, Komal and Amato, Christopher and Srivastava, Nisheeth and Schrater, Paul}, title = {Using {POMDPs} to Control an Accuracy-Processing Time Tradeoff in Video Surveillance}, booktitle = {Proceedings of the Annual Conference on Innovative Applications of Artificial Intelligence}, year = {2012}, address = {Toronto, Canada} }
@inproceedings{NIPSworkshop12, author = {Amato, Christopher and Brunskill, Emma}, title = {Diagnose and Decide: An Optimal {Bayesian} Approach}, booktitle = {Proceedings of the Workshop on Bayesian Optimization and Decision Making at {NIPS}}, address = {Lake Tahoe, Nevada}, year = {2012} }
@inproceedings{IJCAI11, author = {Oliehoek, Frans A. and Spaan, Matthijs T. J. and Amato, Christopher}, title = {Scaling Up Optimal Heuristic Search in {Dec-POMDPs} via Incremental Expansion}, booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence}, address = {Barcelona, Spain}, year = {2011} }
@inproceedings{IAT11, author = {Varakantham, Pradeep and Schurr, Nathan and Carlin, Alan and Amato, Christopher}, title = {Decision Support in Organizations: A Case for {OrgPOMDPs}}, booktitle = {Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology}, address = {Lyon, France}, year = {2011} }
@inproceedings{AAMAS10AS, author = {Amato, Christopher and Shani, Guy}, title = {High-level Reinforcement Learning in Strategy Games}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, address = {Toronto, Canada}, year = {2010} }
@inproceedings{AAMAS10OSDA, author = {Oliehoek, Frans A. and Spaan, Matthijs T. J. and Dibangoye, Jilles S. and Amato, Christopher}, title = {Solving Identical Payoff Bayesian Games with Heuristic Search}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, address = {Toronto, Canada}, year = {2010} }
@inproceedings{AAAI10, author = {Amato, Christopher and Bonet, Blai and Zilberstein, Shlomo}, title = {Finite-State Controllers Based on {Mealy} Machines for Centralized and Decentralized {POMDPs}}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, pages = {1052--1058}, address = {Atlanta, GA}, year = {2010} }
@techreport{ThesisTech, author = {Amato, Christopher}, title = {Increasing Scalability in Algorithms for Centralized and Decentralized Partially Observable {Markov} Decision Processes: Efficient Decision-Making and Coordination in Uncertain Environments}, year = {2010}, institution = {University of Massachusetts, Department of Computer Science}, number = {UM-CS-PhD-2010-005}, address = {Amherst, MA} }
@inproceedings{AAMAS09, author = {Amato, Christopher and Zilberstein, Shlomo}, title = {Achieving Goals in Decentralized {POMDPs}}, booktitle = {Proceedings of the Conference on Autonomous Agents and Multiagent Systems}, address = {Budapest, Hungary}, year = {2009}, pages = {593-600} }
@inproceedings{ICAPS09, author = {Amato, Christopher and Dibangoye, Jilles S. and Zilberstein, Shlomo}, title = {Incremental Policy Generation for Finite-Horizon {DEC-POMDPs}}, booktitle = {Proceedings of the International Conference on Automated Planning and Scheduling}, address = {Thessaloniki, Greece}, year = {2009}, pages = {2-9} }
@article{JAAMAS09, author = {Amato, Christopher and Bernstein, Daniel S. and Zilberstein, Shlomo}, title = {Optimizing fixed-size stochastic controllers for {POMDPs} and decentralized {POMDPs}}, volume = {21}, number = {3}, pages = {293-320}, journal = {Journal of Autonomous Agents and Multi-Agent Systems}, year = {2009} }
@article{BernsteinJAIR09, author = {Bernstein, Daniel S. and Amato, Christopher and Hansen, Eric A. and Zilberstein, Shlomo}, title = {Policy Iteration for Decentralized Control of {Markov} Decision Processes}, year = {2009}, volume = {34}, journal = {Journal of Artificial Intelligence Research}, pages = {89-132} }
@inproceedings{ICAPSWorkshop08, author = {Amato, Christopher and Zilberstein, Shlomo}, title = {What's Worth Memorizing: Attribute-based Planning for {DEC-POMDPs}}, booktitle = {Proceedings of the Multiagent Planning Workshop at {ICAPS}}, address = {Sydney, Australia}, year = {2008} }
@inproceedings{IJCAI07, author = {Amato, Christopher and Bernstein, Daniel S. and Zilberstein, Shlomo}, title = {Solving {POMDPs} Using Quadratically Constrained Linear Programs}, booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence}, year = {2007}, pages = {2418-2424}, address = {Hyderabad, India} }
@inproceedings{UAI07, author = {Amato, Christopher and Bernstein, Daniel S. and Zilberstein, Shlomo}, title = {Optimizing Memory-Bounded Controllers for Decentralized {POMDPs}}, booktitle = {Proceedings of the Conference on Uncertainty in Artificial Intelligence}, year = {2007}, pages = {1-8}, address = {Vancouver, Canada} }
@inproceedings{MSDM07, author = {Amato, Christopher and Carlin, Alan and Zilberstein, Shlomo}, title = {Bounded Dynamic Programming for Decentralized {POMDPs}}, booktitle = {Proceedings of the Workshop on Multi-Agent Sequential Decision Making in Uncertain Domains at {AAMAS}}, year = {2007}, address = {Honolulu, Hawai'i} }