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most citedStARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning

16 citations · 36 across the 11 of their papers we have counts for

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cs.LG2023

Active Vision Reinforcement Learning under Limited Visual Observability

Jinghuan Shang, Michael S. Ryoo

In this work, we investigate Active Vision Reinforcement Learning (ActiveVision-RL), where an embodied agent simultaneously learns action policy for the task while also controlling…