Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement
  Learning   Deep reinforcement learning (DRL) is capable of learning high-performing
policies on a variety of complex high-dimensional tasks, ranging from video
games to robotic manipulation. However, standard DRL methods often suffer from
poor sample efficiency, partially because they aim to be entirely
problem-agnostic. In this work, we introduce a novel approach to exploration
and hierarchical skill learning that derives its sample efficiency from
intuitive assumptions it makes about the behavior of objects both in the
physical world and simulations which mimic physics. Specifically, we propose
the Hypothesis Proposal and Evaluation (HyPE) algorithm, which discovers
objects from raw pixel data, generates hypotheses about the controllability of
observed changes in object state, and learns a hierarchy of skills to test
these hypotheses. We demonstrate that HyPE can dramatically improve the sample
efficiency of policy learning in two different domains: a simulated robotic
block-pushing domain, and a popular benchmark task: Breakout. In these domains,
HyPE learns high-scoring policies an order of magnitude faster than several
state-of-the-art reinforcement learning methods.

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The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol