conftrace_

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

Flipping-based Policy for Chance-Constrained Markov Decision Processes NeurIPS 2024 Functional Wasserstein Variational Policy Optimization UAI 2024 Generalized constraint for probabilistic safe reinforcement learning L4DC 2024 Generalized Linear Bandits with Limited Adaptivity NeurIPS 2024 Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization NeurIPS 2024 Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning AAAI 2024 Graph Diffusion Policy Optimization NeurIPS 2024 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Hybrid Alignment Training for Large Language Models ACL 2024 Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024 Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NeurIPS 2024 Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024 Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation ICML 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 Iterative Regularized Policy Optimization with Imperfect Demonstrations ICML 2024 Language Model Adaption for Reinforcement Learning with Natural Language Action Space ACL 2024 Learning Diverse Risk Preferences in Population-Based Self-Play AAAI 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NeurIPS 2024 Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 Model-based Reinforcement Learning for Confounded POMDPs ICML 2024