Methods

LocoFormer: Generalist Locomotion via Long-context Adaptation CoRL 2025 LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations CoRL 2025 Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Logarithmic regret of exploration in average reward Markov decision processes COLT 2025 Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning AAAI 2025 Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning ICML 2025 LongReward: Improving Long-context Large Language Models with AI Feedback ACL 2025 Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation CoRL 2025 Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models EMNLP 2025 Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 LSRL: Process-Supervised GRPO on Latent Recurrent States Improves Mathematical Reasoning EMNLP 2025 M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality ICML 2025 M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model ICLR 2025 MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder ICLR 2025 MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation EMNLP 2025 MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces ICML 2025 MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning ACL 2025 Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates EMNLP 2025 Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models ACL 2025 Marginal Benefit Driven RL Teacher for Unsupervised Environment Design AAAI 2025 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