2 papers
cs.RO2026
FlowDPG: Deterministic Policy Gradient on Flow Matching Policies for Real-World Manipulation
Kexin Shi, Junyao Shi, Poorvi Hebbar +5
Real-world reinforcement learning for robotic manipulation remains challenging, and this difficulty is amplified for flow matching policies: policy gradients must be backpropagated…
cs.RO2025
ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos
Junyao Shi, Zhuolun Zhao, Tianyou Wang +5
Many recent advances in robotic manipulation have come through imitation learning, yet these rely largely on mimicking a particularly hard-to-acquire form of demonstrations: those…