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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

Multi-turn Reinforcement Learning with Preference Human Feedback NeurIPS 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning AAAI 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024 No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 Off-Agent Trust Region Policy Optimization IJCAI 2024 Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms ICML 2024 Off-Policy Primal-Dual Safe Reinforcement Learning ICLR 2024 OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization NeurIPS 2024 On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning ICLR 2024 Optimal Attack and Defense for Reinforcement Learning AAAI 2024 Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL NeurIPS 2024 Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024 Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 Pearl: A Production-Ready Reinforcement Learning Agent JMLR 2024 Performative Control for Linear Dynamical Systems NeurIPS 2024 Personalized Reinforcement Learning with a Budget of Policies AAAI 2024 POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning CVPR 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Policy Optimization for Robust Average Reward MDPs NeurIPS 2024 Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning ICLR 2024