policy optimization

Near Optimal Policy Optimization via REPS NeurIPS 2021 Non-Stationary Off-Policy Optimization AISTATS 2021 Offline Contextual Bandits with Overparameterized Models ICML 2021 On Effective Scheduling of Model-based Reinforcement Learning NeurIPS 2021 On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations NeurIPS 2021 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 PODS: Policy Optimization via Differentiable Simulation ICML 2021 Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NeurIPS 2021 Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 2021 Policy Optimization as Online Learning with Mediator Feedback AAAI 2021 Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses NeurIPS 2021 Polyjuice: High-Performance Transactions via Learned Concurrency Control OSDI 2021 Preferential Temporal Difference Learning ICML 2021 Progression Heuristics for Planning with Probabilistic LTL Constraints AAAI 2021 Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NeurIPS 2021 Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021 Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021 Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021 Quantifying Differences in Reward Functions ICLR 2021 ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning CVPR 2021 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control ICLR 2021 Regularized Policies are Reward Robust AISTATS 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Reward-Constrained Behavior Cloning IJCAI 2021 Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations IJCAI 2021