policy optimization

Policy Optimization as Wasserstein Gradient Flows ICML 2018 Policy Optimization by Genetic Distillation ICLR 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Policy Optimization with Demonstrations ICML 2018 Policy Optimization with Second-Order Advantage Information IJCAI 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents IJCAI 2018 Structured Evolution with Compact Architectures for Scalable Policy Optimization ICML 2018 Three-Head Neural Network Architecture for Monte Carlo Tree Search IJCAI 2018 Time Limits in Reinforcement Learning ICML 2018 Bridging the Gap Between Value and Policy Based Reinforcement Learning NeurIPS 2017 Constrained Policy Optimization ICML 2017 I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space IJCAI 2017 Is the Bellman residual a bad proxy? NeurIPS 2017 Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics RSS 2017 Multi-Agent Planning with Baseline Regret Minimization IJCAI 2017 Task-based End-to-end Model Learning in Stochastic Optimization NeurIPS 2017 Variational Policy for Guiding Point Processes ICML 2017 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control ICML 2016 Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization ICML 2016 Hierarchical Relative Entropy Policy Search JMLR 2016 Model-Free Imitation Learning with Policy Optimization ICML 2016 Multi-Objective Markov Decision Processes for Data-Driven Decision Support JMLR 2016 Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models COLT 2016