most citedAMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.ROShow all

1 paper · 1 filter

cs.RO2026

CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation

Letian Fu, Justin Yu, Karim El-Refai +13

"Code-as-Policy" considers how executable code can complement data-intensive Vision-Language-Action (VLA) methods, yet their effectiveness as autonomous controllers for embodied ma…