Key papers

• The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL (2026)
  Gurp Nijjer
  5.88
• Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models (2026)
  Antyabha Rahman et al.
  2.00
• Early Verdicts, Better Budgets: Sequential Adaptive Rollout Allocation for Compute-Efficient RLVR (2026)
  Pixel Nomand et al.
  2.00
• Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning (2026)
  Keegan Harris et al.
  2.00
• HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models (2026)
  Hei Yi Mak et al.
  2.00
• Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? (2026)
  Perry Dong et al.
  2.00
• Valdi: Value Diffusion World Models (2026)
  Christopher Lindenberg et al.
  2.00
• Optimizing Visual Generative Models via Distribution-wise Rewards (2026)
  Ruihang Li et al.
  2.00
• Learning to Trigger: Reinforcement Learning at the Large Hadron Collider (2026)
  Zixin Ding et al.
  1.94
• Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR (2026)
  Yongjin Yang et al.
  1.94
• Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly? (2026)
  Tyler Ga Wei Lum et al.
  1.94
• Dockerless: Environment-Free Program Verifier for Coding Agents (2026)
  Wenhao Zeng et al.
  1.94
• Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks (2026)
  Young-Jun Lee et al.
  1.94
• The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning (2026)
  Jing Liang et al.
  1.94
• MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training (2026)
  Wenhan Ma et al.
  1.94
• Xiaomi-GUI-0 Technical Report (2026)
  Wanxia Cao et al.
  1.94
• Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning (2026)
  Junha Jung et al.
  1.94
• TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning (2026)
  Yuanda Xu et al.
  1.94
• Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs (2026)
  Gabrielle Kaili-May Liu et al.
  1.94
• Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising (2026)
  Tianci Liu et al.
  1.94
• Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning (2026)
  Hongxing Li et al.
  1.94
• CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training (2026)
  Max Van Puyvelde et al.
  1.94
• OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies (2026)
  Kelin Yu et al.
  1.94
• Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process (2026)
  Zican Hu et al.
  1.94
• Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models (2026)
  Xinyi Xie et al.
  1.94
• CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation (2026)
  Xuyao Huang et al.
  1.94
• LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL (2026)
  Yujin Kim et al.
  1.94
• dOPSD: On-Policy Self-Distillation for Diffusion Language Models (2026)
  Phuong Tuan Dat et al.
  1.94
• LLM-as-a-Verifier: A General-Purpose Verification Framework (2026)
  Jacky Kwok et al.
  1.94
• Weak-to-Strong Generalization via Direct On-Policy Distillation (2026)
  Shiyuan Feng et al.
  1.94
• UP: Unbounded Positive Asymmetric Optimization for Breaking the Exploration-Stability Dilemma (2026)
  Chongyu Fan et al.
  1.94
• Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning (2026)
  Zhenyu Hou et al.
  1.94
• DrugGen 2: A disease-aware language model for enhancing drug discovery (2026)
  Ali Motahharynia et al.
  1.94
• How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF (2026)
  Venkata Naga Sai Vishnu Rohit Pulipaka et al.
  1.94
• Progress Reward Modeling for Robotic Learning: A Comprehensive Survey (2026)
  Jianshu Zhang et al.
  1.94
• CAST: Game Solvers as Turn-Level Teachers for LLM Agents (2026)
  Yu Wang et al.
  1.94
• MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue (2026)
  Naifan Zhang et al.
  1.78