Multi-Agent Systems

Concurrent Reinforcement Learning from Customer Interactions ICML 2013 Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising NeurIPS 2013 Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NeurIPS 2013 Reward Mapping for Transfer in Long-Lived Agents NeurIPS 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NeurIPS 2012 The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012 What Types of Interactions do Bio-Inspired Robot Swarms and Flocks Afford a Human? RSS 2012 Efficient Offline Communication Policies for Factored Multiagent POMDPs NeurIPS 2011 Multi-armed bandits on implicit metric spaces NeurIPS 2011 On Strategy Stitching in Large Extensive Form Multiplayer Games NeurIPS 2011 Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 Complexity of Decentralized Control: Special Cases NeurIPS 2009 Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009 Solving Stochastic Games NeurIPS 2009 Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study JMLR 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Stochastic Recruitment: A Limited-Feedback Control Policy for Large Ensemble Systems RSS 2008 Competition Adds Complexity NeurIPS 2007 Composition of Vector Fields for Multi-Robot Manipulation via Caging RSS 2007 Collaborative Multiagent Reinforcement Learning by Payoff Propagation JMLR 2006 Auction-Based Multi-Robot Routing RSS 2005