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cs.RO2026
Adaptation of Generalist Robot Policies with Minimal Data
Shreyas Kowshik, Sreyas Venkataraman, Leo Wang +3
A central goal in robot learning is to move beyond task-specific human data collection toward robots that improve through autonomous interaction. Yet fully autonomous learning rema…
cs.LG2026
Recursive Agent Optimization
Apurva Gandhi, Satyaki Chakraborty, Xiangjun Wang +2
We introduce Recursive Agent Optimization (RAO), a reinforcement learning approach for training recursive agents: agents that can spawn and delegate sub-tasks to new instantiations…