Reinforcement Learning

Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025 Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning ICLR 2025 Efficient Reinforcement Learning in Probabilistic Reward Machines AAAI 2025 Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder AAAI 2025 Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping ICLR 2025 Efficient Robotic Policy Learning via Latent Space Backward Planning ICML 2025 Efficient Robot Learning via Interaction with Humans AAAI 2025 Efficient Skill Discovery via Regret-Aware Optimization ICML 2025 EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems IJCAI 2025 ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics ICML 2025 Eliciting Language Model Behaviors with Investigator Agents ICML 2025 Elucidating the Design Space of Torque-aware Vision-Language-Action Models CoRL 2025 Embedding Safety into RL: A New Take on Trust Region Methods ICML 2025 Embodied Navigation with Auxiliary Task of Action Description Prediction ICCV 2025 Embrace Contacts: humanoid shadowing with full body ground contacts CoRL 2025 Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning ACL 2025 EMO-RL: Emotion-Rule-Based Reinforcement Learning Enhanced Audio-Language Model for Generalized Speech Emotion Recognition EMNLP 2025 Enabling Long(er) Horizon Imitation for Manipulation Tasks by Modeling Subgoal Transitions CoRL 2025 Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning EMNLP 2025 EndoVLA: Dual-Phase Vision-Language-Action for Precise Autonomous Tracking in Endoscopy CoRL 2025 End-to-End Learning Framework for Solving Non-Markovian Optimal Control ICML 2025 Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model ICML 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 Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration ICML 2025