Methods

Tree-Structured Reinforcement Learning for Sequential Object Localization NeurIPS 2016 True Online Temporal-Difference Learning JMLR 2016 Unifying Count-Based Exploration and Intrinsic Motivation NeurIPS 2016 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 Abstraction Selection in Model-based Reinforcement Learning ICML 2015 A Comprehensive Survey on Safe Reinforcement Learning JMLR 2015 A Deeper Look at Planning as Learning from Replay ICML 2015 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Direct Loss Minimization Inverse Optimal Control 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 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 Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015 Non-Stationary Approximate Modified Policy Iteration ICML 2015 Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015 On Convergence of Emphatic Temporal-Difference Learning COLT 2015