Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Bandit Framework for Optimal Selection of Reinforcement Learning
  Agents   Deep Reinforcement Learning has been shown to be very successful in complex
games, e.g. Atari or Go. These games have clearly defined rules, and hence
allow simulation. In many practical applications, however, interactions with
the environment are costly and a good simulator of the environment is not
available. Further, as environments differ by application, the optimal
inductive bias (architecture, hyperparameters, etc.) of a reinforcement agent
depends on the application. In this work, we propose a multi-arm bandit
framework that selects from a set of different reinforcement learning agents to
choose the one with the best inductive bias. To alleviate the problem of sparse
rewards, the reinforcement learning agents are augmented with surrogate
rewards. This helps the bandit framework to select the best agents early, since
these rewards are smoother and less sparse than the environment reward. The
bandit has the double objective of maximizing the reward while the agents are
learning and selecting the best agent after a finite number of learning steps.
Our experimental results on standard environments show that the proposed
framework is able to consistently select the optimal agent after a finite
number of steps, while collecting more cumulative reward compared to selecting
a sub-optimal architecture or uniformly alternating between different agents.

6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn