Methods

Efficient Dynamic Ensembling for Multiple LLM Experts IJCAI 2025 Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning AISTATS 2025 Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction ICLR 2025 Efficient Imitation under Misspecification ICLR 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 Model-Based Reinforcement Learning Through Optimistic Thompson Sampling ICLR 2025 Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025 Efficient Off-Policy Learning for High-Dimensional Action Spaces ICLR 2025 Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data ICLR 2025 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 Skill Discovery via Regret-Aware Optimization ICML 2025 EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems IJCAI 2025 Eliciting Language Model Behaviors with Investigator Agents ICML 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 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