We have 3 of 14 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Robotic manipulation is inherently history-dependent, yet most pretrained robotic policies condition on only the current observation or a short temporal window. Equipping such policies with long-term memory remains challenging: existing approaches either feed the backbone multi-frame observation windows, which substant...
This work revisits the conventional offline RL paradigm and proposes decoupling policy improvement from actor training, and trains the actor solely to model the behavior distribution and perform policy improvement at inference time by reranking multiple actor-generated proposals with a separately learned critic.
TempoWAM (Timing Execution by Monitoring Progress Online), a lightweight plug-and-play execution scheme for WAMs, calibrated by a task-dependent calibration factor with online adaptation to bridge the training-deployment gap.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
