reinforcement learning

A Physics-Based Model Prior for Object-Oriented MDPs ICML 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NeurIPS 2014 Design Principles of the Hippocampal Cognitive Map NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Online Multi-Task Learning for Policy Gradient Methods ICML 2014 PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014 Quasi Newton Temporal Difference Learning ACML 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Recurrent Models of Visual Attention NeurIPS 2014 Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Study in Human Volunteers JMLR 2014 Reinforcement learning with value advice ACML 2014 State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction RSS 2014 Time-Regularized Interrupting Options (TRIO) ICML 2014 True Online TD(lambda) ICML 2014 Universal Option Models NeurIPS 2014 Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013 Adaptive Step-Size for Policy Gradient Methods NeurIPS 2013 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013