Key papers

• 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
• Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification (2026)
  Yuxuan Wan et al.
  1.94
• OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution (2026)
  Le Zhang et al.
  1.94
• Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR (2026)
  Fanfan Liu et al.
  1.94
• InfoPO: Information-Driven Policy Optimization for User-Centric Agents (2026)
  Fanqi Kong et al.
  1.94
• ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning (2026)
  Ruizhong Qiu et al.
  1.94
• Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL (2026)
  Chenlu Ye et al.
  1.94
• LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning (2026)
  Jianing Wang et al.
  1.94
• Process Reward Agents for Steering Knowledge-Intensive Reasoning (2026)
  Jiwoong Sohn et al.
  1.94
• RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies (2026)
  Xuning Yang 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
• 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
• Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR (2026)
  Utkarsh Tyagi et al.
  1.94
• Joint Training of Multi-Token Prediction in Reinforcement Learning via Optimal Coefficient Calibration (2026)
  Zili Wang et al.
  1.94
• Task-Focused Memorization for Multimodal Agents (2026)
  Tao Zou et al.
  1.94
• Light-WAM: Efficient World Action Models with State-Fusion Action Decoding (2026)
  Ziang Li et al.
  1.94
• WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation (2026)
  Arnav Kumar Jain et al.
  1.94
• GD^2PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization (2026)
  Haotian Liu et al.
  1.94
• OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation (2026)
  Guibin Zhang et al.
  1.94
• STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability (2026)
  Haipeng Luo et al.
  1.94
• The Verification Horizon: No Silver Bullet for Coding Agent Rewards (2026)
  Binghai Wang et al.
  1.94
• 3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance (2026)
  Dongyoon Hwang et al.
  1.94
• Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning (2026)
  Yaorui Shi et al.
  1.89
• MARBLE: Multi-Aspect Reward Balance for Diffusion RL (2026)
  Canyu Zhao et al.
  1.89
• RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards (2026)
  Gaotang Li et al.
  1.89
• DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization (2026)
  Jian Mu et al.
  1.89
• Reinforcement Learning via Value Gradient Flow (2026)
  Haoran Xu et al.
  1.83
• Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL (2026)
  Sudong Wang et al.
  1.83
• Generative Visual Code Mobile World Models (2026)
  Woosung Koh et al.
  1.72
• 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
• Online Causal Kalman Filtering for Stable and Effective Policy Optimization (2026)
  Shuo He et al.
  1.72
• Flow-based Extremal Mathematical Structure Discovery (2026)
  Gergely Bérczi et al.
  1.67
• Reinforcement Learning via Self-Distillation (2026)
  Jonas Hübotter et al.
  1.67
• FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading (2025)
  Guojun Xiong et al.
  1.28
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale (2025)
  Qiying Yu et al.
  1.28
• Bridging Supervised Learning and Reinforcement Learning in Math Reasoning (2025)
  Huayu Chen et al.
  1.28
• Accelerating Nash Learning from Human Feedback via Mirror Prox (2025)
  Daniil Tiapkin et al.
  1.28
• The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models (2025)
  Ganqu Cui et al.
  1.28
• ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models (2025)
  Mingjie Liu et al.
  1.28
• AMFT: Aligning LLM Reasoners by Meta-Learning the Optimal Imitation-Exploration Balance (2025)
  Lixuan He et al.
  1.28
• Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models (2025)
  Zhipeng Chen et al.
  1.28
• DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model (2025)
  Mohammadreza Ghaffarzadeh-Esfahani et al.
  1.28
• Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities (2025)
  Trisanth Srinivasan et al.
  1.28
• Towards a Unified View of Large Language Model Post-Training (2025)
  Xingtai Lv et al.
  1.28
• ΔL Normalization: Rethink Loss Aggregation in RLVR (2025)
  Zhiyuan He et al.
  1.28
• Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing (2025)
  Jeffrey Amico et al.
  1.28
• Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective (2025)
  Siwei Wang et al.
  1.28
• Scaling Policy Compliance Assessment in Language Models with Policy Reasoning Traces (2025)
  Joseph Marvin Imperial et al.
  1.28
• Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training (2025)
  Yein Park et al.
  1.28
• Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models (2025)
  Yongding Tao et al.
  1.28
• UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning (2025)
  Liangyu Chen et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• VIDEOP2R: Video Understanding from Perception to Reasoning (2025)
  Yifan Jiang et al.
  1.28
• EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models (2025)
  Zechen Bai et al.
  1.28
• VA-π: Variational Policy Alignment for Pixel-Aware Autoregressive Generation (2025)
  Xinyao Liao et al.
  1.28
• Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation (2025)
  Huajie Tan et al.
  1.28