policy optimization

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning ICLR 2024 Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024 Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration ICML 2024 DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning NeurIPS 2024 Diffusion Model-Augmented Behavioral Cloning ICML 2024 Doubly Mild Generalization for Offline Reinforcement Learning NeurIPS 2024 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation COLING 2024 Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024 Efficient Multi-agent Reinforcement Learning by Planning ICLR 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024 Evolutionary Reward Design and Optimization with Multimodal Large Language Models ACL 2024 Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization ICML 2024 Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters CoRL 2024 Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints IJCAI 2024 Fair Participation via Sequential Policies AAAI 2024 Fast two-time-scale stochastic gradient method with applications in reinforcement learning COLT 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NeurIPS 2024 Fine-Tuning Language Models with Reward Learning on Policy NAACL 2024