Multi-Agent Systems

Policy Gradient With Value Function Approximation For Collective Multiagent Planning NeurIPS 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017 Safe and Nested Subgame Solving for Imperfect-Information Games NeurIPS 2017 Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017 The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems JMLR 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning ICML 2017 Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NeurIPS 2016 Learning Multiagent Communication with Backpropagation NeurIPS 2016 Learning to Communicate with Deep Multi-Agent Reinforcement Learning NeurIPS 2016 Lenient Learning in Independent-Learner Stochastic Cooperative Games JMLR 2016 Opponent Modeling in Deep Reinforcement Learning ICML 2016 Softened Approximate Policy Iteration for Markov Games ICML 2016 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Fictitious Self-Play in Extensive-Form Games ICML 2015 Learning to Track: Online Multi-Object Tracking by Decision Making ICCV 2015 Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 Model-Based Relational RL When Object Existence is Partially Observable ICML 2014 PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 A Gang of Bandits NeurIPS 2013 A message-passing algorithm for multi-agent trajectory planning NeurIPS 2013 A multi-agent control framework for co-adaptation in brain-computer interfaces NeurIPS 2013 Coco-Q: Learning in Stochastic Games with Side Payments ICML 2013