Reinforcement Learning

Value Iteration Networks NeurIPS 2016 VIME: Variational Information Maximizing Exploration NeurIPS 2016 Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize JMLR 2016 Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, As Well ICML 2016 Abstraction Selection in Model-based Reinforcement Learning ICML 2015 A Comprehensive Survey on Safe Reinforcement Learning JMLR 2015 Action-Conditional Video Prediction using Deep Networks in Atari Games NeurIPS 2015 A Deeper Look at Planning as Learning from Replay ICML 2015 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Approximate Modified Policy Iteration and its Application to the Game of Tetris JMLR 2015 Basis refinement strategies for linear value function approximation in MDPs NeurIPS 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Dealing with Difficult Instances of Object Rearrangement RSS 2015 Direct Loss Minimization Inverse Optimal Control RSS 2015 Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition RSS 2015 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Fictitious Self-Play in Extensive-Form Games ICML 2015 Grounding English Commands to Reward Functions RSS 2015 High Confidence Policy Improvement ICML 2015 Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping RSS 2015 Inverse Reinforcement Learning with Locally Consistent Reward Functions NeurIPS 2015 Learning Continuous Control Policies by Stochastic Value Gradients NeurIPS 2015 Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015 Learning to Track: Online Multi-Object Tracking by Decision Making ICCV 2015 Model-Based Relative Entropy Stochastic Search NeurIPS 2015