Reinforcement Learning

Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Transfer in Reinforcement Learning via Shared Features JMLR 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Turning-rate Selective Control : A New Method for Independent Control of Stress-engineered MEMS Microrobots RSS 2012 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 Construction of Cubic Structures with Quadrotor Teams RSS 2011 Continuous Rapid Action Value Estimates ACML 2011 Controlling Wild Bodies Using Linear Temporal Logic RSS 2011 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Distributed Robot Ensemble Control for Deployment to Multiple Sites RSS 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