Abstract: Sample-efficient reinforcement learning (RL) from high-dimensional sensor readings holds significant potential for real physical robot applications. Recent developments in visual RL, which ...
Abstract: Deploying visual reinforcement learning (RL) policies in real-world manipulation is often hindered by camera viewpoint changes. A policy trained from a fixed front-facing camera may fail ...
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