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policy optimization

771 papers

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Also known as

POLO PO

Co-occurring keywords · papers mentioning both

reinforcement learning (237) markov decision process (81) offline reinforcement learning (69) large language model (56) model-based reinforcement learning (53) sample efficiency (44) deep reinforcement learning (43) safe reinforcement learning (40) continuous control (39) value function (37)

Papers

Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NeurIPS 2024 Position: Automatic Environment Shaping is the Next Frontier in RL ICML 2024 PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping AAAI 2024 Pragmatic Fairness: Developing Policies with Outcome Disparity Control CLeaR 2024 Probabilistic Constrained Reinforcement Learning with Formal Interpretability ICML 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NeurIPS 2024 Rate-Optimal Policy Optimization for Linear Markov Decision Processes ICML 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 Reflective Policy Optimization ICML 2024 Reinforcement Learning from Answer Reranking Feedback for Retrieval-Augmented Answer Generation Interspeech 2024 Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems NeurIPS 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition NeurIPS 2024 Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024 Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024 Resilient Constrained Reinforcement Learning AISTATS 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective L4DC 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024 ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making NeurIPS 2024 Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation ICML 2024 Scalable Online Exploration via Coverability ICML 2024 Score Regularized Policy Optimization through Diffusion Behavior ICLR 2024 Self-Evolution Fine-Tuning for Policy Optimization EMNLP 2024 Self-Modifying State Modeling for Simultaneous Machine Translation ACL 2024 Solving Minimum-Cost Reach Avoid using Reinforcement Learning NeurIPS 2024