2 papers
cs.RO2026
An Analysis of Streaming Deep Reinforcement Learning for Adaptive Continual Learning in Robotics
Teeratham Vitchutripop, Alyssa Quarles, Wenhe Zhang +2
Over the course of a lifetime, robots may encounter novel scenarios unaccounted for in its original training that result in performance degradation. One common approach to mitigati…
cs.RO2026
Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient
Haoxiang You, Yilang Liu, Davis Zong +5
We present the stochastic decoupled policy gradient (SDPG), a lightweight visual reinforcement learning (RL) method that trains diverse visuomotor control policies end-to-end withi…