Key papers

• Reasoning with Exploration: An Entropy Perspective (2025)
  Daixuan Cheng et al.
  2.87
• Rank-Then-Act: Reward-Free Control from Frame-Order Progress (2026)
  Yuriy Maksyuta et al.
  2.00
• WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks (2026)
  Hao Bai et al.
  1.94
• Unified Thinker: A General Reasoning Modular Core for Image Generation (2026)
  Sashuai Zhou et al.
  1.94
• Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation (2026)
  Pingzhi Tang et al.
  1.94
• CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning (2026)
  Eric Onyame et al.
  1.94
• Learning to Discover at Test Time (2026)
  Mert Yuksekgonul et al.
  1.94
• Influence Guided Sampling for Domain Adaptation of Text Retrievers (2026)
  Meet Doshi et al.
  1.94
• WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents (2026)
  Yao Zhang et al.
  1.94
• THINKSAFE: Self-Generated Safety Alignment for Reasoning Models (2026)
  Seanie Lee et al.
  1.94
• Unified Personalized Reward Model for Vision Generation (2026)
  Yibin Wang et al.
  1.94
• BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation (2026)
  Jingwen Xu et al.
  1.94
• Privileged Information Distillation for Language Models (2026)
  Emiliano Penaloza et al.
  1.94
• V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval (2026)
  Dongyang Chen et al.
  1.94
• POINTS-GUI-G: GUI-Grounding Journey (2026)
  Zhongyin Zhao et al.
  1.94
• InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning (2026)
  Yuchen Yan et al.
  1.94
• P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads (2026)
  Yun Luo et al.
  1.94
• On the Optimal Reasoning Length for RL-Trained Language Models (2026)
  Daisuke Nohara et al.
  1.94
• REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents (2026)
  Zheng Chu et al.
  1.94
• SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning (2026)
  Zelin He et al.
  1.94
• LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding (2026)
  Jihao Qiu et al.
  1.94
• SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale (2026)
  Ibragim Badertdinov 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
• ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning (2026)
  Ruizhong Qiu et al.
  1.94
• Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation (2026)
  Xiangyu Zhao et al.
  1.94
• ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents (2026)
  Hao Zhang et al.
  1.94
• Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL (2026)
  Chenlu Ye et al.
  1.94
• Vero: An Open RL Recipe for General Visual Reasoning (2026)
  Gabriel Sarch et al.
  1.94
• RAGEN-2: Reasoning Collapse in Agentic RL (2026)
  Zihan Wang et al.
  1.94
• OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks (2026)
  Wenbo Hu et al.
  1.94
• Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models (2026)
  Shilin Yan et al.
  1.94
• HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help? (2026)
  Mohamed Elfeki et al.
  1.94
• OmniScript: Towards Audio-Visual Script Generation for Long-Form Cinematic Video (2026)
  Junfu Pu et al.
  1.94
• Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach (2026)
  Haolin Li et al.
  1.94
• Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision (2026)
  Yinghui He et al.
  1.94
• Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning (2026)
  NVIDIA et al.
  1.94
• GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification (2026)
  Wangjie Gan et al.
  1.94
• StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning (2026)
  Daoyu Wang 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
• Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction (2026)
  Zhong Guan et al.
  1.94
• MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning (2026)
  Yaolun Zhang et al.
  1.94
• HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents (2026)
  Woongyeng Yeo 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
• Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement (2026)
  Dingwei Chen et al.
  1.94
• DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes (2026)
  Caijun Xu et al.
  1.94
• Task-Focused Memorization for Multimodal Agents (2026)
  Tao Zou et al.
  1.94
• EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management (2026)
  Zherui Yang et al.
  1.94
• InterleaveThinker: Reinforcing Agentic Interleaved Generation (2026)
  Dian Zheng et al.
  1.94
• Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale (2026)
  Ang Li et al.
  1.94
• GD^2PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization (2026)
  Haotian Liu et al.
  1.94
• Understanding the Behaviors of Environment-aware Information Retrieval (2026)
  Ruifeng Yuan et al.
  1.94
• Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models (2026)
  Darrien McKenzie et al.
  1.94
• ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving (2026)
  Huimin Wang et al.
  1.89
• Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning (2026)
  Yaorui Shi et al.
  1.89