EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning Paper • 2608.06197 • Published 15 days ago • 45
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Paper • 2608.05987 • Published 15 days ago • 97
Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance Paper • 2608.00782 • Published 20 days ago • 16
Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance Paper • 2608.00782 • Published 20 days ago • 16
VAD: Attributing Visual Evidence for Target Reconstruction in Multimodal On-Policy Distillation Paper • 2607.28590 • Published 22 days ago • 46
SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution Paper • 2607.26784 • Published 23 days ago • 28
SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution Paper • 2607.26784 • Published 23 days ago • 28
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning Paper • 2607.14777 • Published Jul 16 • 106
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning Paper • 2606.26790 • Published Jun 25 • 57
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 159
GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection Paper • 2605.28534 • Published May 27 • 25
Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles Paper • 2605.22177 • Published May 21 • 21
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents Paper • 2605.12481 • Published May 12 • 28
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents Paper • 2605.12481 • Published May 12 • 28
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents Paper • 2605.12481 • Published May 12 • 28