policy search

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making IJCAI 2018 PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Programmatically Interpretable Reinforcement Learning ICML 2018 TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING ICLR 2018 A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space ACML 2017 Constrained Policy Optimization ICML 2017 Contextual Covariance Matrix Adaptation Evolutionary Strategies IJCAI 2017 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017 Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017 Is the Bellman residual a bad proxy? NeurIPS 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Approximate Newton Methods for Policy Search in Markov Decision Processes JMLR 2016 Black-Box Policy Search with Probabilistic Programs AISTATS 2016 Guided Policy Search via Approximate Mirror Descent NeurIPS 2016 Hierarchical Relative Entropy Policy Search JMLR 2016 Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016 Direct Loss Minimization Inverse Optimal Control RSS 2015 Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015 Model-Based Relative Entropy Stochastic Search NeurIPS 2015 Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015 Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret ICML 2015 Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014 Online Stochastic Optimization under Correlated Bandit Feedback ICML 2014