Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an
  Ensemble of Suboptimal Teachers   The exploration mechanism used by a Deep Reinforcement Learning (RL) agent
plays a key role in determining its sample efficiency. Thus, improving over
random exploration is crucial to solve long-horizon tasks with sparse rewards.
We propose to leverage an ensemble of partial solutions as teachers that guide
the agent's exploration with action suggestions throughout training. While the
setup of learning with teachers has been previously studied, our proposed
approach - Actor-Critic with Teacher Ensembles (AC-Teach) - is the first to
work with an ensemble of suboptimal teachers that may solve only part of the
problem or contradict other each other, forming a unified algorithmic solution
that is compatible with a broad range of teacher ensembles. AC-Teach leverages
a probabilistic representation of the expected outcome of the teachers' and
student's actions to direct exploration, reduce dithering, and adapt to the
dynamically changing quality of the learner. We evaluate a variant of AC-Teach
that guides the learning of a Bayesian DDPG agent on three tasks - path
following, robotic pick and place, and robotic cube sweeping using a hook - and
show that it improves largely on sampling efficiency over a set of baselines,
both for our target scenario of unconstrained suboptimal teachers and for
easier setups with optimal or single teachers. Additional results and videos at
https://sites.google.com/view/acteach/home.

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The categories of this paper are: hep-ph
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
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The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
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The categories of this paper are: q-bio
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th