policy regularization

COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025 Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning ICML 2025 Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning ICML 2024 DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation ICML 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NeurIPS 2024 Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation ICLR 2024 Language Instructed Reinforcement Learning for Human-AI Coordination ICML 2023 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023 PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient ICML 2023 Offline Reinforcement Learning as Anti-exploration AAAI 2022 A Minimalist Approach to Offline Reinforcement Learning NeurIPS 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020 Munchausen Reinforcement Learning NeurIPS 2020 Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning NeurIPS 2020 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NeurIPS 2020 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NeurIPS 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019