Harness-S: Learning from Sibling Harnesses for Generalizable Agent Training Paper • 2611.04277 • Published 5 days ago • 63
Work Agents: Systems, Capabilities, and Optimization Paper • 2610.35845 • Published 13 days ago • 115
Work Agents: Systems, Capabilities, and Optimization Paper • 2610.35845 • Published 13 days ago • 115
ViSkill: Reinforcing VLM Agents with Evolving Visual-Native Skills Paper • 2610.12403 • Published about 1 month ago • 13
ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents Paper • 2609.40253 • Published Oct 1 • 8
nanoMuse: An Open-Source Personal Agent for Every Device You Own Paper • 2610.08699 • Published Oct 6 • 103
ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents Paper • 2609.40253 • Published Oct 1 • 8
HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents Paper • 2609.38008 • Published Sep 29 • 25
HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents Paper • 2609.38008 • Published Sep 29 • 25
HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents Paper • 2609.38008 • Published Sep 29 • 25
IterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis Paper • 2609.29444 • Published Sep 24 • 12
IterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis Paper • 2609.29444 • Published Sep 24 • 12
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning Paper • 2609.20784 • Published Sep 17 • 25
Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI Agents Paper • 2609.17653 • Published Sep 15 • 18
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning Paper • 2609.20784 • Published Sep 17 • 25 • 3
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning Paper • 2609.20784 • Published Sep 17 • 25
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning Paper • 2609.20784 • Published Sep 17 • 25