reinforcement learning

EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation IJCNLP 2025 Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025 Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025 Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning EMNLP 2025 Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution AAAI 2025 Efficiently Escaping Saddle Points for Policy Optimization UAI 2025 Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025 Efficient Reinforcement Learning in Probabilistic Reward Machines AAAI 2025 Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder AAAI 2025 Efficient Reinforcement Learning with Large Language Model Priors ICLR 2025 Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping ICLR 2025 Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling ACL 2025 EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems IJCAI 2025 Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning NAACL 2025 Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation EMNLP 2025 Embodied Navigation with Auxiliary Task of Action Description Prediction ICCV 2025 EMO-RL: Emotion-Rule-Based Reinforcement Learning Enhanced Audio-Language Model for Generalized Speech Emotion Recognition EMNLP 2025 Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning ICLR 2025 Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference ICLR 2025 Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning EMNLP 2025 Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant Described States MLHC 2025 Enhancing AMR Parsing with Group Relative Policy Optimization ACL 2025 Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models AAAI 2025 Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs EMNLP 2025 Enhancing Goal-oriented Proactive Dialogue Systems via Dynamic Multi-dimensional Consistency Optimization EMNLP 2025