Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reinforcement Learning with Competitive Ensembles of
  Information-Constrained Primitives   Reinforcement learning agents that operate in diverse and complex
environments can benefit from the structured decomposition of their behavior.
Often, this is addressed in the context of hierarchical reinforcement learning,
where the aim is to decompose a policy into lower-level primitives or options,
and a higher-level meta-policy that triggers the appropriate behaviors for a
given situation. However, the meta-policy must still produce appropriate
decisions in all states. In this work, we propose a policy design that
decomposes into primitives, similarly to hierarchical reinforcement learning,
but without a high-level meta-policy. Instead, each primitive can decide for
themselves whether they wish to act in the current state. We use an
information-theoretic mechanism for enabling this decentralized decision: each
primitive chooses how much information it needs about the current state to make
a decision and the primitive that requests the most information about the
current state acts in the world. The primitives are regularized to use as
little information as possible, which leads to natural competition and
specialization. We experimentally demonstrate that this policy architecture
improves over both flat and hierarchical policies in terms of generalization.

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The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
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The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
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The categories of this paper are: nlin
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The categories of this paper are: q-fin
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The categories of this paper are: funct-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-alg
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The categories of this paper are: astro-ph
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The categories of this paper are: dg-ga