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May 4, 2022 · Learning-from-demonstrations (LfD) is a popular paradigm to obtain effective robot control policies for complex tasks via reinforcement ...
This work presents a proposed LfD-STL framework that learns from even suboptimal/imperfect demonstrations and STL specifications to infer rewards for ...
In this poster, we present a drawing game, DSAsketch, that can be used to practice a wide range of concepts related to data structures and algorithms. During ...
Learning-from-demonstrations (LfD) is a popular paradigm to obtain effective robot control policies for complex tasks via reinforcement learning without the ...
Feb 15, 2021 · Abstract:Learning-from-demonstrations is an emerging paradigm to obtain effective robot control policies for complex tasks via reinforcement ...
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In this paper, we allow an expert to elaborate on their original demonstration with additional specification information using linear temporal logic (LTL). Our ...
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Abstract—Most current methods for learning from demon- strations assume that those demonstrations alone are sufficient to learn the underlying task.
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Learning-from-demonstrations is an emerging paradigm to obtain effective robot control policies for complex tasks via reinforcement learning without the need to ...
Missing: Poster | Show results with:Poster
Abstract: Learning-from-demonstrations is an emerging paradigm to obtain ef- fective robot control policies for complex tasks via reinforcement learning ...
Missing: Poster | Show results with:Poster
Sep 10, 2022 · Abstract: Learning from demonstration (LfD) has successfully solved tasks featuring a long time horizon. However, when the problem complexity ...
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