Reinforcement Learning

Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning AAAI 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer ICML 2025 Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning CoRL 2025 Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025 Maximum Entropy Reinforcement Learning with Diffusion Policy ICML 2025 Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025 Maximum Total Correlation Reinforcement Learning ICML 2025 MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization ICLR 2025 MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity COLING 2025 MDP Geometry, Normalization and Reward Balancing Solvers AISTATS 2025 Med-VRAgent: A Framework for Medical Visual Reasoning-Enhanced Agents EMNLP 2025 Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents JMLR 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention CoRL 2025 Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation CoRL 2025 Meta-Black-Box-Optimization through Offline Q-function Learning ICML 2025 Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding ICML 2025 MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility ICLR 2025 MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025 MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025 MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence CoRL 2025 Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback ICML 2025 Minimax Optimal Reinforcement Learning with Quasi-Optimism ICLR 2025 Minority-Aware Satisfaction Estimation in Dialogue Systems via Preference-Adaptive Reinforcement Learning IJCNLP 2025 Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications L4DC 2025