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A framework for utilizing experience for generating predictive simulations and learning from them.
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Please check the presentation Video and Preprint.
Driven by the goal of creating intelligent
This requires reasoning about the robot's surroundings using its on-board perception,
Interaction data for physical systems are expensive to collect sequentially acquired experience rather than offline accumulated data.
The expert overseer only intervenes when it suspects that an unsafe action is about to be taken.
I am interested in building intelligent robots that can plan efficiently, learn from past experience, and reason about their decisions and other agen…
My research goal is to design algorithms that can enable agents to continuously interact, learn, and perform complex tasks in their environments.