Deep RL

True Online TD(lambda) ICML 2014 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Bayesian Learning of Recursively Factored Environments ICML 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 Better Rates for Any Adversarial Deterministic MDP ICML 2013 Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013 Convergence of Monte Carlo Tree Search in Simultaneous Move Games NeurIPS 2013 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Online Feature Selection for Model-based Reinforcement Learning ICML 2013 Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions 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 Algorithms for Learning Markov Field Policies NeurIPS 2012 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012