Reinforcement Learning

Guided Monte Carlo Tree Search for Planning in Learned Environments ACML 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NeurIPS 2013 Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Online learning in episodic Markovian decision processes by relative entropy policy search NeurIPS 2013 Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NeurIPS 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 Projected Natural Actor-Critic NeurIPS 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 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012 A Stochastic Bandit Algorithm for Scratch Games ACML 2012 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 Autonomous Exploration For Navigating In MDPs COLT 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Contextual Bandit Learning with Predictable Rewards AISTATS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012