Key papers

• WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks (2026)
  Hao Bai et al.
  1.94
• POINTS-GUI-G: GUI-Grounding Journey (2026)
  Zhongyin Zhao et al.
  1.94
• SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning (2026)
  Zelin He et al.
  1.94
• Efficient RLVR Training via Weighted Mutual Information Data Selection (2026)
  Xinyu Zhou et al.
  1.94
• BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning (2026)
  Tarjei Paule Hage et al.
  1.94
• Vero: An Open RL Recipe for General Visual Reasoning (2026)
  Gabriel Sarch et al.
  1.94
• Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision (2026)
  Yinghui He et al.
  1.94
• DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data (2026)
  Venus Team et al.
  1.94
• Improving Vision-language Models with Perception-centric Process Reward Models (2026)
  Yingqian Min et al.
  1.94
• Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs (2026)
  Wanli Yang et al.
  1.94
• LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models (2026)
  Songtao Wei et al.
  1.94
• Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR (2026)
  Chongyu Fan et al.
  1.94
• Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR (2026)
  Utkarsh Tyagi et al.
  1.94
• CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents (2026)
  Bowen Wang et al.
  1.94
• RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains (2026)
  Haoxiang Jiang et al.
  1.94
• GD^2PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization (2026)
  Haotian Liu et al.
  1.94
• SkillOS: Learning Skill Curation for Self-Evolving Agents (2026)
  Siru Ouyang et al.
  1.89
• CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning (2026)
  Linas Nasvytis et al.
  1.89
• Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL (2026)
  Sudong Wang et al.
  1.83
• Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration (2026)
  Bowei He et al.
  1.72
• Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations (2026)
  Wei Liu et al.
  1.72
• Learning to Detect Language Model Training Data via Active Reconstruction (2026)
  Junjie Oscar Yin et al.
  1.72
• Reinforcement Learning via Self-Distillation (2026)
  Jonas Hübotter et al.
  1.67
• ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas (2026)
  Xiaoyu Tian et al.
  1.67
• FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading (2025)
  Guojun Xiong et al.
  1.28
• SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning (2025)
  Peixian Ma et al.
  1.28
• Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization (2025)
  Pritam Sarkar et al.
  1.28
• X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains (2025)
  Qianchu Liu et al.
  1.28
• Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation (2025)
  Zongxia Li et al.
  1.28
• Agentic Reinforced Policy Optimization (2025)
  Guanting Dong et al.
  1.28
• A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence (2025)
  Huan-ang Gao et al.
  1.28
• AMFT: Aligning LLM Reasoners by Meta-Learning the Optimal Imitation-Exploration Balance (2025)
  Lixuan He et al.
  1.28
• Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning (2025)
  Vaishnavi Shrivastava et al.
  1.28
• Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models (2025)
  Zhipeng Chen et al.
  1.28
• Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training (2025)
  Chenlu Ye et al.
  1.28
• Visual Jigsaw Post-Training Improves MLLMs (2025)
  Penghao Wu et al.
  1.28
• RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning (2025)
  Sicheng Feng et al.
  1.28
• ExGRPO: Learning to Reason from Experience (2025)
  Runzhe Zhan et al.
  1.28
• EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning (2025)
  He Du et al.
  1.28
• Search Self-play: Pushing the Frontier of Agent Capability without Supervision (2025)
  Hongliang Lu et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning (2025)
  Ming Chen et al.
  1.28
• MusicRL: Aligning Music Generation to Human Preferences (2024)
  Geoffrey Cideron et al.
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• CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay (2024)
  Natasha Butt et al.
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