HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents Paper • 2609.38008 • Published 5 days ago • 39
IterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis Paper • 2609.29444 • Published 10 days ago • 20
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning Paper • 2609.20784 • Published 17 days ago • 57
Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI Agents Paper • 2609.17653 • Published 19 days ago • 45
PaperGym: Rubric-Centered Evolution for Research-Plan Generation Paper • 2608.31119 • Published Aug 31 • 33
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search Paper • 2607.24280 • Published Jul 27 • 85
DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space Paper • 2607.25675 • Published Jul 28 • 70
UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City Paper • 2608.27456 • Published Aug 27 • 88
Agent-G^2: Gaussian Guidance for Agentic Reinforcement Learning Paper • 2608.23318 • Published Aug 24 • 32
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning Paper • 2608.06197 • Published Aug 6 • 48
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Paper • 2608.05987 • Published Aug 6 • 104
Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance Paper • 2608.00782 • Published Aug 1 • 18
VAD: Attributing Visual Evidence for Target Reconstruction in Multimodal On-Policy Distillation Paper • 2607.28590 • Published Jul 30 • 46
SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution Paper • 2607.26784 • Published Jul 29 • 29
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning Paper • 2607.14777 • Published Jul 16 • 105
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning Paper • 2606.26790 • Published Jun 25 • 59