Reinforcement Learning

Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NeurIPS 2013 Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning ICML 2013 Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NeurIPS 2013 Performance Bounds for λ Policy Iteration and Application to the Game of Tetris JMLR 2013 Planning by Prioritized Sweeping with Small Backups ICML 2013 Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NeurIPS 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 Probabilistic Movement Primitives NeurIPS 2013 Projected Natural Actor-Critic NeurIPS 2013 Q-learning for history-based reinforcement learning ACML 2013 Quantitative Evaluation of Standing Stabilization Using Stiff and Compliant Actuators RSS 2013 Receding Horizon Control in Dynamic Environments from Temporal Logic Specifications RSS 2013 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Reward Mapping for Transfer in Long-Lived Agents NeurIPS 2013 Robust Data-Driven Dynamic Programming NeurIPS 2013 Safe Policy Iteration ICML 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 SLAM++: Simultaneous Localisation and Mapping at the Level of Objects CVPR 2013 Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation ICML 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Temporal Difference Methods for the Variance of the Reward To Go ICML 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Variational Policy Search via Trajectory Optimization NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012