policy optimization

Explicit Explore-Exploit Algorithms in Continuous State Spaces NeurIPS 2019 From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization NeurIPS 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CoRL 2019 Imitation-Regularized Offline Learning AISTATS 2019 Learning Fairness in Multi-Agent Systems NeurIPS 2019 Monte Carlo Tree Search for Policy Optimization IJCAI 2019 Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints IJCAI 2019 Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CoRL 2019 Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019 Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019 Optimistic Policy Optimization via Multiple Importance Sampling ICML 2019 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 P3O: Policy-on Policy-off Policy Optimization UAI 2019 Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games NeurIPS 2019 Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 Policy Transfer with Strategy Optimization ICLR 2019 Predictor-Corrector Policy Optimization ICML 2019 ProMP: Proximal Meta-Policy Search ICLR 2019 Provably Efficient Maximum Entropy Exploration ICML 2019 Provably Robust Blackbox Optimization for Reinforcement Learning CoRL 2019 Recurrent Existence Determination Through Policy Optimization IJCAI 2019 Reinforcement Learning with Convex Constraints NeurIPS 2019 Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping CoRL 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019