policy improvement

Combining Behaviors with the Successor Features Keyboard NeurIPS 2023 Composing Task Knowledge With Modular Successor Feature Approximators ICLR 2023 Counterfactual Learning with General Data-Generating Policies AAAI 2023 Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement ICLR 2023 Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023 Offline Reinforcement Learning with Closed-Form Policy Improvement Operators ICML 2023 On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation UAI 2023 Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems ACL 2023 Solving multi-model MDPs by coordinate ascent and dynamic programming UAI 2023 Supported Trust Region Optimization for Offline Reinforcement Learning ICML 2023 Weighted Policy Constraints for Offline Reinforcement Learning AAAI 2023 An Analytical Update Rule for General Policy Optimization ICML 2022 [CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue ACL 2022 Divergence-Regularized Multi-Agent Actor-Critic ICML 2022 Enhancing Safe Exploration Using Safety State Augmentation NeurIPS 2022 Generalised Policy Improvement with Geometric Policy Composition ICML 2022 Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences JMLR 2022 Imitating Past Successes can be Very Suboptimal NeurIPS 2022 Mirror Learning: A Unifying Framework of Policy Optimisation ICML 2022 Policy improvement by planning with Gumbel ICLR 2022 COMBO: Conservative Offline Model-Based Policy Optimization NeurIPS 2021 Coordinated Proximal Policy Optimization NeurIPS 2021 Curriculum Offline Imitating Learning NeurIPS 2021 Explaining fast improvement in online imitation learning UAI 2021 Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning ICLR 2021