2 papers
cs.RO2026
UniLAP: A Unified Latent Action Policy for Cross-Embodiment Manipulation
Lei Yao, Qiao Feng, Mutian Tong +3
Latent Action Models (LAMs) can capture manipulation priors from action-free videos, but discrete latents usually impose a granularity bottleneck, limiting their ability to represe…
cs.CL2026
ClawGym II: Exploring Black-Box RL on Agent Harness
Huatong Song, Fei Bai, Ming Yang +17
Agent harnesses have substantially improved performance on long-horizon tasks by coordinating agent interactions with the environment. However, reinforcement learning through compl…