Agent World Model in the Wild: Computer-Use Agent Environment Synthesis Paper • 2610.26828 • Published 20 days ago • 70
Recovering Reliable Supervision via Critique-Guided On-Policy Distillation Paper • 2610.20572 • Published 25 days ago • 27
Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It Paper • 2609.32444 • Published Sep 26 • 23
Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It Paper • 2609.32444 • Published Sep 26 • 23
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning Paper • 2609.35505 • Published Sep 28 • 17
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning Paper • 2609.35505 • Published Sep 28 • 17
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning Paper • 2609.35505 • Published Sep 28 • 17
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning Paper • 2609.35505 • Published Sep 28 • 17 • 4
When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation Paper • 2609.20511 • Published Sep 17 • 52
When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation Paper • 2609.20511 • Published Sep 17 • 52
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning Paper • 2602.10090 • Published Feb 10 • 53