policy optimization

Separating value functions across time-scales ICML 2019 Social Reinforcement Learning to Combat Fake News Spread UAI 2019 State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 The Value Function Polytope in Reinforcement Learning ICML 2019 Understanding the Impact of Entropy on Policy Optimization ICML 2019 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning NeurIPS 2019 Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019 When to Trust Your Model: Model-Based Policy Optimization NeurIPS 2019 Actor-Critic Policy Optimization in Partially Observable Multiagent Environments NeurIPS 2018 Benchmarks for reinforcement learning in mixed-autonomy traffic CoRL 2018 Clipped Action Policy Gradient ICML 2018 Configurable Markov Decision Processes ICML 2018 Constrained Cross-Entropy Method for Safe Reinforcement Learning NeurIPS 2018 Convergence of Value Aggregation for Imitation Learning AISTATS 2018 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NeurIPS 2018 Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives IJCAI 2018 Feedback-Based Tree Search for Reinforcement Learning ICML 2018 Latent Space Policies for Hierarchical Reinforcement Learning ICML 2018 Maximum a Posteriori Policy Optimisation ICLR 2018 Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NeurIPS 2018 Model-Ensemble Trust-Region Policy Optimization ICLR 2018 Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018 Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NeurIPS 2018