16 citations · 36 across the 11 of their papers we have counts for
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cs.LG2021★ 16 cited
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning
Jinghuan Shang, Kumara Kahatapitiya, Xiang Li +1
Reinforcement Learning (RL) can be considered as a sequence modeling task: given a sequence of past state-action-reward experiences, an agent predicts a sequence of next actions. I…
cs.RO2021★ 2 cited
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
Jinghuan Shang, Michael S. Ryoo
Humans learn to imitate by observing others. However, robot imitation learning generally requires expert demonstrations in the first-person view (FPV). Collecting such FPV videos f…