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

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF ICLR 2025 Reinforcement Learning for Large Language Models via Group Preference Reward Shaping EMNLP 2025 Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? ICLR 2025 Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization ACL 2025 Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning EMNLP 2025 Reward Models in Deep Reinforcement Learning: A Survey IJCAI 2025 RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters EMNLP 2025 SciCompanion: Graph-Grounded Reasoning for Structured Evaluation of Scientific Arguments EMNLP 2025 Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning ICML 2025 Self-Training Large Language Models with Confident Reasoning EMNLP 2025 Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms AAAI 2025 SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation ACL 2025 Simple Policy Optimization ICML 2025 Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning ACL 2025 Structured Document Translation via Format Reinforcement Learning IJCNLP 2025 Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue ICCV 2025 TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods NAACL 2025 Teaching Text Agents to Learn Sequential Decision Making from Failure ACL 2025 Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization ICML 2025 Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning ACL 2025 Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback ICLR 2025 Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF ICLR 2025 VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization ICCV 2025 Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models ACL 2025 Visual-RFT: Visual Reinforcement Fine-Tuning ICCV 2025