Christopher Amato

162 papers A* 35A 28C 2Misc 7Journal 76Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beware Untrusted Simulators - Reward-Free Backdoor Attacks in Reinforcement Learning. CoRR Ethan Rathbun, Wo Wei Lin, Alina Oprea, Christopher Amato
2026	A*	`conf`	LLM Collaboration with Multi-Agent Reinforcement Learning. AAAI Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato
2026	J	`jnl`	Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic. CoRR Shuo Liu, Tianle Chen, Ryan Amiri, Christopher Amato
2026	J	`jnl`	Verifying Online Safety Properties for Safe Deep Reinforcement Learning. ACM Trans. Intell. Syst. Technol. Luca Marzari, Ferdinando Cicalese, Alessandro Farinelli, Christopher Amato, Enrico Marchesini
2025	A*	`conf`	Adversarial Inception Backdoor Attacks against Reinforcement Learning. ICML Ethan Rathbun, Alina Oprea, Christopher Amato
2025	J	`jnl`	Asynchronous multi-agent deep reinforcement learning under partial observability. Int. J. Robotics Res. Yuchen Xiao, Weihao Tan, Joshua Hoffman, Tian Xia, Christopher Amato
2025	J	`jnl`	Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning. CoRR Andrea Baisero, Rupali Bhati, Shuo Liu, Aathira Pillai, Christopher Amato
2025	J	`jnl`	LLM Collaboration With Multi-Agent Reinforcement Learning. CoRR Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato
2025	A	`conf`	Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning. AAMAS Chulabhaya Wijesundara, Andrea Baisero, Gregory D. Castañón, Alan Carlin, Robert Platt, Christopher Amato
2025	J	`jnl`	Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning. Trans. Mach. Learn. Res. Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castañón, Alan Carlin, Robert Platt, Christopher Amato
2025	A	`conf`	On Stateful Value Factorization in Multi-Agent Reinforcement Learning. AAMAS Enrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato
2025	A	`conf`	Safe Entropic Agents under Team Constraints. AAMAS Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Christopher Amato, Kagan Tumer
2024	J	`jnl`	(A Partial Survey of) Decentralized, Cooperative Multi-Agent Reinforcement Learning. CoRR Christopher Amato
2024	J	`jnl`	Adversarial Inception for Bounded Backdoor Poisoning in Deep Reinforcement Learning. CoRR Ethan Rathbun, Christopher Amato, Alina Oprea
2024	J	`jnl`	An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning. CoRR Christopher Amato
2024	A	`conf`	Entropy Seeking Constrained Multiagent Reinforcement Learning. AAMAS Ayhan Alp Aydeniz, Enrico Marchesini, Christopher Amato, Kagan Tumer
2024	J	`jnl`	Equivariant Reinforcement Learning under Partial Observability. CoRR Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato
2024	Misc	`conf`	Leveraging Mutual Information for Asymmetric Learning under Partial Observability. CoRL Hai Huu Nguyen, Long Dinh Van The, Christopher Amato, Robert Platt
2024	J	`jnl`	On Centralized Critics in Multi-Agent Reinforcement Learning. CoRR Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato
2024	J	`jnl`	On Stateful Value Factorization in Multi-Agent Reinforcement Learning. CoRR Enrico Marchesini, Andrea Baisero, Rupali Bathi, Christopher Amato
2024	A*	`conf`	Robot Navigation in Unseen Environments using Coarse Maps. ICRA Chengguang Xu, Christopher Amato, Lawson L. S. Wong
2024	J	`jnl`	Safe Multiagent Coordination via Entropic Exploration. CoRR Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Christopher Amato, Kagan Tumer
2024	A	`conf`	Shield Decentralization for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments. AAMAS Daniel Melcer, Christopher Amato, Stavros Tripakis
2024	J	`jnl`	Shield Decomposition for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments. RLJ Daniel Melcer, Christopher Amato, Stavros Tripakis
2024	A*	`conf`	SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents. NeurIPS Ethan Rathbun, Christopher Amato, Alina Oprea
2024	J	`jnl`	SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents. CoRR Ethan Rathbun, Christopher Amato, Alina Oprea
2023	Misc	`conf`	Equivariant Reinforcement Learning under Partial Observability. CoRL Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato
2023	A*	`conf`	Improving Deep Policy Gradients with Value Function Search. ICLR Enrico Marchesini, Christopher Amato
2023	J	`jnl`	Improving Deep Policy Gradients with Value Function Search. CoRR Enrico Marchesini, Christopher Amato
2023	J	`jnl`	Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control. IEEE Access Rohit Bokade, Xiaoning Jin, Christopher Amato
2023	J	`jnl`	Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control. CoRR Rohit Bokade, Xiaoning Jin, Christopher Amato
2023	J	`jnl`	On Centralized Critics in Multi-Agent Reinforcement Learning. J. Artif. Intell. Res. Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato
2023	A	`conf`	On-Robot Bayesian Reinforcement Learning for POMDPs. IROS Hai Nguyen, Sammie Katt, Yuchen Xiao, Christopher Amato
2023	J	`jnl`	On-Robot Bayesian Reinforcement Learning for POMDPs. CoRR Hai Nguyen, Sammie Katt, Yuchen Xiao, Christopher Amato
2023	A	`conf`	Safe Deep Reinforcement Learning by Verifying Task-Level Properties. AAMAS Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato
2023	J	`jnl`	Safe Deep Reinforcement Learning by Verifying Task-Level Properties. CoRR Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato
2023	A*	`conf`	Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. ICML Brett Daley, Martha White, Christopher Amato, Marlos C. Machado
2023	J	`jnl`	Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. CoRR Brett Daley, Martha White, Christopher Amato, Marlos C. Machado
2023	J	`jnl`	Vision and Language Navigation in the Real World via Online Visual Language Mapping. CoRR Chengguang Xu, Hieu T. Nguyen, Christopher Amato, Lawson L. S. Wong
2022	A*	`conf`	A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. AAAI Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato
2022	J	`jnl`	A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. CoRR Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato
2022	A	`conf`	Asymmetric DQN for partially observable reinforcement learning. UAI Andrea Baisero, Brett Daley, Christopher Amato
2022	A*	`conf`	Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning. NeurIPS Yuchen Xiao, Weihao Tan, Christopher Amato
2022	J	`jnl`	Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning. CoRR Yuchen Xiao, Weihao Tan, Christopher Amato
2022	A	`conf`	BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. AAMAS Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato
2022	J	`jnl`	BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. CoRR Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato
2022	J	`jnl`	Deep Transformer Q-Networks for Partially Observable Reinforcement Learning. CoRR Kevin Esslinger, Robert Platt, Christopher Amato
2022	—	`ed.`	Distributed Artificial Intelligence - Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings DAI Jie Chen, Jérôme Lang, Christopher Amato, Dengji Zhao
2022	C	`conf`	Hierarchical Reinforcement Learning Under Mixed Observability. WAFR Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato
2022	J	`jnl`	Hierarchical Reinforcement Learning under Mixed Observability. CoRR Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato
2022	Misc	`conf`	Leveraging Fully Observable Policies for Learning under Partial Observability. CoRL Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt
2022	J	`jnl`	Leveraging Fully Observable Policies for Learning under Partial Observability. CoRR Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt
2022	—	`conf`	Safety-informed mutations for evolutionary deep reinforcement learning. GECCO Companion Enrico Marchesini, Christopher Amato
2022	A*	`conf`	Shield Decentralization for Safe Multi-Agent Reinforcement Learning. NeurIPS Daniel Melcer, Christopher Amato, Stavros Tripakis
2022	A	`conf`	Unbiased Asymmetric Reinforcement Learning under Partial Observability. AAMAS Andrea Baisero, Christopher Amato
2021	A	`conf`	Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. AAMAS Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
2021	J	`jnl`	Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. CoRR Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
2021	J	`jnl`	Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones. CoRR Roi Yehoshua, Juan Heredia Juesas, Yushu Wu, Christopher Amato, Jose A. Martinez-Lorenzo
2021	A*	`conf`	End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning ICRA Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir
2021	J	`jnl`	End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning. CoRR Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir
2021	J	`jnl`	Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps. CoRR Chengguang Xu, Christopher Amato, Lawson L. S. Wong
2021	J	`jnl`	Human-Level Control without Server-Grade Hardware. CoRR Brett Daley, Christopher Amato
2021	J	`jnl`	Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions. CoRR Brett Daley, Christopher Amato
2021	J	`jnl`	Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods. CoRR Brett Daley, Christopher Amato
2021	—	`conf`	Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning. MRS Yuchen Xiao, Xueguang Lyu, Christopher Amato
2021	J	`jnl`	Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning. CoRR Yuchen Xiao, Xueguang Lyu, Christopher Amato
2021	Misc	`conf`	Multi-agent reinforcement learning with directed exploration and selective memory reuse. SAC Shuo Jiang, Christopher Amato
2021	A*	`conf`	Reconciling Rewards with Predictive State Representations. IJCAI Andrea Baisero, Christopher Amato
2021	J	`jnl`	Reconciling Rewards with Predictive State Representations. CoRR Andrea Baisero, Christopher Amato
2021	A	`conf`	Safe Multi-Agent Reinforcement Learning via Shielding. AAMAS Ingy Elsayed-Aly, Suda Bharadwaj, Christopher Amato, Rüdiger Ehlers, Ufuk Topcu, Lu Feng
2021	J	`jnl`	Safe Multi-Agent Reinforcement Learning via Shielding. CoRR Ingy Elsayed-Aly, Suda Bharadwaj, Christopher Amato, Rüdiger Ehlers, Ufuk Topcu, Lu Feng
2021	A	`conf`	Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. AAMAS Brett Daley, Cameron Hickert, Christopher Amato
2021	J	`jnl`	Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. CoRR Brett Daley, Cameron Hickert, Christopher Amato
2021	J	`jnl`	Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning. CoRR Andrea Baisero, Christopher Amato
2021	J	`jnl`	Virtual Replay Cache. CoRR Brett Daley, Christopher Amato
2020	Misc	`conf`	Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. CoRL Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt
2020	J	`jnl`	Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. CoRR Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt
2020	J	`jnl`	Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties. CoRR Brett Daley, Christopher Amato
2020	Misc	`conf`	Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps. CoRL Chengguang Xu, Christopher Amato, Lawson L. S. Wong
2020	—	`conf`	Hybrid Independent Learning in Cooperative Markov Games. DAI Roi Yehoshua, Christopher Amato
2020	A	`conf`	Learning Complementary Representations of the Past using Auxiliary Tasks in Partially Observable Reinforcement Learning. AAMAS Andrea Baisero, Christopher Amato
2020	A*	`conf`	Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net. ICRA Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato
2020	A	`conf`	Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning. AAMAS Xueguang Lyu, Christopher Amato
2020	J	`jnl`	Macro-Action-Based Deep Multi-Agent Reinforcement Learning. CoRR Yuchen Xiao, Joshua Hoffman, Christopher Amato
2020	A*	`conf`	Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract). AAAI Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato
2020	A	`conf`	To Ask or Not to Ask: A User Annoyance Aware Preference Elicitation Framework for Social Robots. IROS Balint Gucsi, Danesh S. Tarapore, William Yeoh, Christopher Amato, Long Tran-Thanh
2020	—	`conf`	Towards End-to-End Control of a Robot Prosthetic Hand via Reinforcement Learning. BioRob Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir
2019	J	`jnl`	AAAI/ACM SIGAI job fair 2019: a retrospective. AI Matters Christopher Amato, John P. Dickerson
2019	J	`jnl`	Active Goal Recognition. CoRR Christopher Amato, Andrea Baisero
2019	A	`conf`	Bayesian Reinforcement Learning in Factored POMDPs. AAMAS Sammie Katt, Frans A. Oliehoek, Christopher Amato
2019	A*	`conf`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2019	Misc	`conf`	Macro-Action-Based Deep Multi-Agent Reinforcement Learning. CoRL Yuchen Xiao, Joshua Hoffman, Christopher Amato
2019	J	`jnl`	Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How
2019	J	`jnl`	Multi-Robot Deep Reinforcement Learning with Macro-Actions. CoRR Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato
2019	A*	`conf`	Online Planning for Target Object Search in Clutter under Partial Observability. ICRA Yuchen Xiao, Sammie Katt, Andreas ten Pas, Shengjian Chen, Christopher Amato
2019	A*	`conf`	Reconciling λ-Returns with Experience Replay. NeurIPS Brett Daley, Christopher Amato
2018	J	`jnl`	Bayesian Reinforcement Learning in Factored POMDPs. CoRR Sammie Katt, Frans A. Oliehoek, Christopher Amato
2018	A*	`conf`	Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning. IJCAI Christopher Amato
2018	J	`jnl`	Efficient Eligibility Traces for Deep Reinforcement Learning. CoRR Brett Daley, Christopher Amato
2018	J	`jnl`	Learning in POMDPs with Monte Carlo Tree Search. CoRR Sammie Katt, Frans A. Oliehoek, Christopher Amato
2018	J	`jnl`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2018	A*	`conf`	Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. ICRA Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan P. How
2018	J	`jnl`	On Improving Decentralized Hysteretic Deep Reinforcement Learning. CoRR Xueguang Lyu, Christopher Amato
2018	—	`conf`	Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games. CIG Zhengxing Chen, Christopher Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2018	J	`jnl`	Reports on the 2018 AAAI Spring Symposium Series. AI Mag. Christopher Amato, Haitham Bou-Ammar, Elizabeth F. Churchill, Erez Karpas, Takashi Kido, Mike Kuniavsky, William F. Lawless, Francesca Rossi, Frans A. Oliehoek, Stephen Russell, Keiki Takadama, Siddharth Srivastava, Karl Tuyls, Philip van Allen, K. Brent Venable, Peter Vrancx, Shiqi Zhang
2018	A	`conf`	The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games. RecSys Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
2017	A*	`conf`	COG-DICE: An Algorithm for Solving Continuous-Observation Dec-POMDPs. IJCAI Madison Clark-Turner, Christopher Amato
2017	J	`jnl`	Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions. Int. J. Robotics Res. Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian
2017	A*	`conf`	Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. ICML Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
2017	J	`jnl`	Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. CoRR Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
2017	J	`jnl`	Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions. CoRR Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How
2017	A	`conf`	Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions. IROS Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How
2017	A*	`conf`	Learning in POMDPs with Monte Carlo Tree Search. ICML Sammie Katt, Frans A. Oliehoek, Christopher Amato
2017	J	`jnl`	Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. CoRR Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan P. How
2017	J	`jnl`	Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces. CoRR Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian
2017	A*	`conf`	Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. ICRA Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian
2017	J	`jnl`	Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations. CoRR Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian
2017	A*	`conf`	Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. ICRA Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian
2016	—	`book`	A Concise Introduction to Decentralized POMDPs Frans A. Oliehoek, Christopher Amato
2016	A*	`conf`	Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs. ICRA Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian
2016	A*	`conf`	Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments. AAAI Miao Liu, Christopher Amato, Emily P. Anesta, John Daniel Griffith, Jonathan P. How
2016	J	`jnl`	Optimally Solving Dec-POMDPs as Continuous-State MDPs. J. Artif. Intell. Res. Jilles Steeve Dibangoye, Christopher Amato, Olivier Buffet, François Charpillet
2016	J	`jnl`	Policy search for multi-robot coordination under uncertainty. Int. J. Robotics Res. Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
2016	J	`jnl`	Reports of the AAAI 2016 Spring Symposium Series. AI Mag. Christopher Amato, Ofra Amir, Joanna Bryson, Barbara J. Grosz, Bipin Indurkhya, Emre Kiciman, Takashi Kido, William F. Lawless, Miao Liu, Braden McDorman, Ross Mead, Frans A. Oliehoek, Andrew Specian, Georgi Stojanov, Keiki Takadama
2015	J	`jnl`	Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions. CoRR Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Jonathan P. How
2015	A*	`conf`	Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions. ICRA Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Jonathan P. How
2015	A*	`conf`	Exploiting Separability in Multiagent Planning with Continuous-State MDPs (Extended Abstract). IJCAI Jilles Steeve Dibangoye, Christopher Amato, Olivier Buffet, François Charpillet
2015	A*	`conf`	Planning for decentralized control of multiple robots under uncertainty. ICRA Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
2015	—	`conf`	Policy Search for Multi-Robot Coordination under Uncertainty. Robotics: Science and Systems Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
2015	—	`conf`	Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Jonathan P. How, Leslie Pack Kaelbling
2015	A*	`conf`	Scalable Planning and Learning for Multiagent POMDPs. AAAI Christopher Amato, Frans A. Oliehoek
2015	A*	`conf`	Stick-Breaking Policy Learning in Dec-POMDPs. IJCAI Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How
2015	J	`jnl`	Stick-Breaking Policy Learning in Dec-POMDPs. CoRR Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How
2014	A	`conf`	Exploiting separability in multiagent planning with continuous-state MDPs. AAMAS Jilles Steeve Dibangoye, Christopher Amato, Olivier Buffet, François Charpillet
2014	J	`jnl`	Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. CoRR Frans Adriaan Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson
2014	J	`jnl`	Planning for Decentralized Control of Multiple Robots Under Uncertainty. CoRR Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
2014	A	`conf`	Planning with macro-actions in decentralized POMDPs. AAMAS Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling
2014	J	`jnl`	Policy Iteration for Decentralized Control of Markov Decision Processes. CoRR Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein
2014	J	`jnl`	Scalable Planning and Learning for Multiagent POMDPs. CoRR Christopher Amato, Frans A. Oliehoek
2013	—	`conf`	Decentralized control of partially observable Markov decision processes. CDC Christopher Amato, Girish Chowdhary, Alborz Geramifard, N. Kemal Ure, Mykel J. Kochenderfer
2013	J	`jnl`	Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. J. Artif. Intell. Res. Frans A. Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson
2013	A*	`conf`	Optimally Solving Dec-POMDPs as Continuous-State MDPs. IJCAI Jilles Steeve Dibangoye, Christopher Amato, Olivier Buffet, François Charpillet
2013	A	`conf`	Producing efficient error-bounded solutions for transition independent decentralized mdps. AAMAS Jilles Steeve Dibangoye, Christopher Amato, Arnaud Doniec, François Charpillet
2012	J	`jnl`	Optimizing Memory-Bounded Controllers for Decentralized POMDPs CoRR Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2012	J	`jnl`	Scaling Up Decentralized MDPs Through Heuristic Search CoRR Jilles Steeve Dibangoye, Christopher Amato, Arnaud Doniec
2012	A	`conf`	Scaling Up Decentralized MDPs Through Heuristic Search. UAI Jilles Steeve Dibangoye, Christopher Amato, Arnaud Doniec
2012	C	`conf`	Using POMDPs to Control an Accuracy-Processing Time Trade-Off in Video Surveillance. IAAI Komal Kapoor, Christopher Amato, Nisheeth Srivastava, Paul R. Schrater
2011	A	`conf`	Adaptive decision support for structured organizations: a case for OrgPOMDPs. AAMAS Pradeep Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato
2011	—	`conf`	Decentralized Models for Use in a Real-World Personal Assistant Agent Scenario. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration Christopher Amato
2011	—	`conf`	Decision Support in Organizations: A Case for OrgPOMDPs. IAT Pradeep Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato
2011	A*	`conf`	Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion. IJCAI Matthijs T. J. Spaan, Frans A. Oliehoek, Christopher Amato
2010	A*	`conf`	Finite-State Controllers Based on Mealy Machines for Centralized and Decentralized POMDPs. AAAI Christopher Amato, Blai Bonet, Shlomo Zilberstein
2010	A	`conf`	Heuristic search for identical payoff Bayesian games. AAMAS Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles Steeve Dibangoye, Christopher Amato
2010	A	`conf`	High-level reinforcement learning in strategy games. AAMAS Christopher Amato, Guy Shani
2010	J	`jnl`	Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs. Auton. Agents Multi Agent Syst. Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2009	—	`conf`	Achieving goals in decentralized POMDPs. AAMAS (1) Christopher Amato, Shlomo Zilberstein
2009	A*	`conf`	Incremental Policy Generation for Finite-Horizon DEC-POMDPs. ICAPS Christopher Amato, Jilles Steeve Dibangoye, Shlomo Zilberstein
2009	J	`jnl`	Policy Iteration for Decentralized Control of Markov Decision Processes. J. Artif. Intell. Res. Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein
2007	A	`conf`	Optimizing Memory-Bounded Controllers for Decentralized POMDPs. UAI Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2007	A*	`conf`	Solving POMDPs Using Quadratically Constrained Linear Programs. IJCAI Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2006	—	`conf`	Finding Optimal POMDP Controllers Using Quadratically Constrained Linear Programs. AI&M Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2006	A	`conf`	Solving POMDPs using quadratically constrained linear programs. AAMAS Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein