Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient 事件

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient arXiv:2605.26478v1 Announce Type: cross Abstract: We present the stochastic decoupled policy gradient (SDPG), a lightweight visual reinforcement learning (RL) method that trains diverse visuomotor control policies end-to-end within a few hours on a single NVIDIA RTX 4080 GPU. SDPG estimates policy gradients via random perturbations of trajectory rollouts, requiring orders of magnitude fewer batch-rendered environments and su