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

TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding AAAI 2026 Unlocking Token Rewards via Training-Free Reward Attribution CVPR 2026 VAPO: End-to-end Slide-Enhanced Speech Recognition with Omni-modal Large Language Models ACL 2026 VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis CVPR 2026 Visually-Guided Policy Optimization for Multimodal Reasoning ACL 2026 VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ACL 2026 Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning AAAI 2026 When Instinct Guides and Insight Grounds: Staged RL Training for LLM Agents AAAI 2026 Who Judges the Judge? Evaluating LLM-as-a-Judge for French Medical open-ended QA EACL 2026 q-exponential family for policy optimization ICLR 2025 Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios AAAI 2025 Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning ICLR 2025 A General Framework for Off-Policy Learning with Partially-Observed Reward ICLR 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization ICML 2025 Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks EMNLP 2025 Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration ICLR 2025 Black-Box Optimization with Implicit Constraints for Public Policy AAAI 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025 Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025 CoTD-PO: Chain-of-Thought Distillation with Preference Optimization EMNLP 2025 CPO: Addressing Reward Ambiguity in Role-playing Dialogue via Comparative Policy Optimization EMNLP 2025 DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision EMNLP 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF ICML 2025 Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025 EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models EMNLP 2025