reinforcement learning

Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems 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 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Reward Mapping for Transfer in Long-Lived Agents NeurIPS 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Temporal Difference Methods for the Variance of the Reward To Go ICML 2013 The Sample-Complexity of General Reinforcement Learning ICML 2013 Variational Policy Search via Trajectory Optimization NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Algorithms for Learning Markov Field Policies NeurIPS 2012 Autonomous Exploration For Navigating In MDPs COLT 2012 Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NeurIPS 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 Imitation Learning by Coaching NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Neurally Plausible Reinforcement Learning of Working Memory Tasks NeurIPS 2012 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NeurIPS 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012