Reinforcement Learning

Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story ICML 2025 Enhancing Goal-oriented Proactive Dialogue Systems via Dynamic Multi-dimensional Consistency Optimization EMNLP 2025 Enhancing multi-modal Relation Extraction with Reinforcement Learning Guided Graph Diffusion Framework COLING 2025 Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data AAAI 2025 Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning IJCAI 2025 Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition AAAI 2025 Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models ICML 2025 Enhancing RLHF with Human Gaze Modeling EMNLP 2025 Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning EMNLP 2025 Ensuring Force Safety in Vision-Guided Robotic Manipulation via Implicit Tactile Calibration CoRL 2025 Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025 Episodic Novelty Through Temporal Distance ICLR 2025 Epistemic Bellman Operators AAAI 2025 EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning ACL 2025 EQA-RM: A Generative Embodied Reward Model with Test-time Scaling EMNLP 2025 eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels ICLR 2025 ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025 ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract) AAAI 2025 Ergodic Generative Flows ICML 2025 ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps AAAI 2025 Estimating Value of Assistance for Online POMDP Robotic Agents CoRL 2025 Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings JMLR 2025 EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control ICML 2025 Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks AAAI 2025 EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration ICML 2025