Category: Reinforcement Learning

• Is Synthetic Data Better Than Real Data?
• SortedRL: Accelerates Large Model RL Training by 50%, Boosting Efficiency by 18%
• Lin Junyang Speaks Out for the First Time After Leaving Alibaba: Reviewing Qwen's Detours, Pointing to AI's New Path
• Let AI 'Refine' Its Own Data! DataChef Goes Open Source: Using Reinforcement Learning to Automatically Generate LLM Data Recipes
• NVIDIA Nemotron-Cascade 2 Technical Report
• ICLR 2026 | How Far Can Unsupervised Reinforcement Learning Go for Large Models? A Systematic Answer from the Tsinghua Team
• Stop Obsessing Over Outcome Rewards! CUHK Identifies and Solves the "Information Self-Locking" Problem in RL!
• Karpathy Just Open-Sourced AutoResearch: I Used It to Optimize Lobster Skills, Boosting Success Rates from 56% to 92%
• KARL: Knowledge Agents based on Reinforcement Learning
• OpenClaw-RL: Allowing AI Agents to Self-Evolve Through Chat
• Recent Google Publications: Two Notable Papers on Multi-Agent Systems
• Are LLM RL Training Trajectories Actually Linear? Miaow Lab's Latest Work: Directly 'Predict' Future Models Without Further Training!
• What Exactly Is On-Policy Distillation? An In-Depth Interpretation of On-Policy/Self-Distillation
• The Bitter Lesson! ROLL Team Shares: Practical Experience in Agentic RL Training
• Xiaomi Introduces JudgeRLVR: Judge First, Generate Second — Breaking the Efficiency Paradox of "Long Chain-of-Thought" in Reasoning Models
• Is PPO Dead? The Reinforcement Learning Foundation Used by DeepSeek Has Major Flaws!
• Former OpenAI Researcher: AGI Requires Models to Break Through Difficulties on Their Own; The Biggest Problem is Generalization; The Most Important Skill is "Managing Junior Engineers"; Robots Will Have a "ChatGPT Moment" in Two to Three Years
• DeepMind World Model Researcher: Is the Transformer Architecture Unimportant? The AGI Bottleneck Lies Elsewhere
• What to do with poor pre-training data? Bengio team introduces explicit Bayesian for gradient-free In-Context RL
• Let AI Level Itself Up: Meta Pushes Coding to Superintelligence with Self-play RL
• LAMER: Meta-Reinforcement Learning Enables Language Agents to Perform Active Exploration
• RLVR Reinforcement Learning Training Costs Plummet 98%! 12 PEFT Methods Head-to-Head, Results Are Surprising...
• Breaking News! DeepSeek Officially Releases 2 Models
• US Air Force Integrates AI into Advanced Wargaming
• What? RLVR Isn't Learning New Knowledge—It's Learning How to Use Knowledge for Reasoning!