Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SFV: Reinforcement Learning of Physical Skills from Videos   Data-driven character animation based on motion capture can produce highly
naturalistic behaviors and, when combined with physics simulation, can provide
for natural procedural responses to physical perturbations, environmental
changes, and morphological discrepancies. Motion capture remains the most
popular source of motion data, but collecting mocap data typically requires
heavily instrumented environments and actors. In this paper, we propose a
method that enables physically simulated characters to learn skills from videos
(SFV). Our approach, based on deep pose estimation and deep reinforcement
learning, allows data-driven animation to leverage the abundance of publicly
available video clips from the web, such as those from YouTube. This has the
potential to enable fast and easy design of character controllers simply by
querying for video recordings of the desired behavior. The resulting
controllers are robust to perturbations, can be adapted to new settings, can
perform basic object interactions, and can be retargeted to new morphologies
via reinforcement learning. We further demonstrate that our method can predict
potential human motions from still images, by forward simulation of learned
controllers initialized from the observed pose. Our framework is able to learn
a broad range of dynamic skills, including locomotion, acrobatics, and martial
arts.

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The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
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The categories of this paper are: funct-an
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The categories of this paper are: ao-sci
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The categories of this paper are: q-fin
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The categories of this paper are: hep-th
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The categories of this paper are: q-alg
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The categories of this paper are: plasm-ph
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The categories of this paper are: chem-ph
3
The categories of this paper are: physics