Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Comparison of learning algorithms on the Arcade Learning Environment   Reinforcement learning agents have traditionally been evaluated on small toy
problems. With advances in computing power and the advent of the Arcade
Learning Environment, it is now possible to evaluate algorithms on diverse and
difficult problems within a consistent framework. We discuss some challenges
posed by the arcade learning environment which do not manifest in simpler
environments. We then provide a comparison of model-free, linear learning
algorithms on this challenging problem set.

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The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys