Methods

Value Pursuit Iteration NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 What Types of Interactions do Bio-Inspired Robot Swarms and Flocks Afford a Human? RSS 2012 A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011 Action-Gap Phenomenon in Reinforcement Learning NeurIPS 2011 Agnostic KWIK learning and efficient approximate reinforcement learning COLT 2011 Analysis and Improvement of Policy Gradient Estimation NeurIPS 2011 A Non-Parametric Approach to Dynamic Programming NeurIPS 2011 A Reinforcement Learning Theory for Homeostatic Regulation NeurIPS 2011 A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NeurIPS 2011 Blending Autonomous Exploration and Apprenticeship Learning NeurIPS 2011 Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NeurIPS 2011 Continuous Rapid Action Value Estimates ACML 2011 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Efficient Offline Communication Policies for Factored Multiagent POMDPs NeurIPS 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011 Generalized TD Learning JMLR 2011 Improving Policy Gradient Estimates with Influence Information ACML 2011 Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts RSS 2011 Learning to Agglomerate Superpixel Hierarchies NeurIPS 2011 Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning RSS 2011 MAP Inference for Bayesian Inverse Reinforcement Learning NeurIPS 2011 Monte Carlo Value Iteration with Macro-Actions NeurIPS 2011 Multi-armed bandits on implicit metric spaces NeurIPS 2011