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Reinforcement Learning

1,698 papers

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Papers

Learning to Diversify and Focus: A Reinforcement Framework for Open-Vocabulary HOI Detection CVPR 2026 Learning to Focus and Precise Cropping:A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs CVPR 2026 Learning to Play Two-Player Perfect-Information Games without Knowledge JMLR 2026 Learning to Select Visual Tools from Experience CVPR 2026 LEASH: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model ACL 2026 Let VLMs Grade Their Own Thoughts: A Self-Quantification Approach to Reasoning-Aware Reward Modeling CVPR 2026 Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning ACL 2026 Likelihood hacking in probabilistic program synthesis UAI 2026 Linking Perception, Confidence and Accuracy in MLLMs CVPR 2026 LongVideoAgent: Multi-Agent Reasoning with Long Videos ACL 2026 LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding CVPR 2026 LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls ACL 2026 LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation ACL 2026 MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization ACL 2026 MangoBench: A Benchmark for Multi-Agent Goal-Conditioned Offline Reinforcement Learning CVPR 2026 Mango: Multi-Agent Web Navigation via Global-View Optimization ACL 2026 MARS2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation ACL 2026 MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation ACL 2026 Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding ACL 2026 MedGRPO: Multi-Task Reinforcement Learning for Heterogeneous Medical Video Understanding CVPR 2026 MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards ACL 2026 Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning ACL 2026 Miner: Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models ACL 2026 MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents ACL 2026 Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards ACL 2026