Reinforcement Learning
1,698 papers
Papers per year
4
9
13
6
12
9
17
11
14
7
7
22
53
81
103
140
170
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376
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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