Policy Learning

Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016 Near Optimal Behavior via Approximate State Abstraction ICML 2016 Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016 Only H is left: Near-tight Episodic PAC RL NeurIPS 2016 Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models COLT 2016 Regularized Policy Iteration with Nonparametric Function Spaces JMLR 2016 Reinforcement Learning of POMDPs using Spectral Methods COLT 2016 Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 2016 Smooth Imitation Learning for Online Sequence Prediction ICML 2016 Abstraction Selection in Model-based Reinforcement Learning ICML 2015 A Comprehensive Survey on Safe Reinforcement Learning JMLR 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Direct Loss Minimization Inverse Optimal Control RSS 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 Policy Evaluation Using the Ω-Return NeurIPS 2015 Policy Gradient for Coherent Risk Measures NeurIPS 2015 Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015