Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Challenging On Car Racing Problem from OpenAI gym   This project challenges the car racing problem from OpenAI gym environment.
The problem is very challenging since it requires computer to finish the
continuous control task by learning from pixels. To tackle this challenging
problem, we explored two approaches including evolutionary algorithm based
genetic multi-layer perceptron and double deep Q-learning network. The result
shows that the genetic multi-layer perceptron can converge fast but when
training many episodes, double deep Q-learning can get better score. We analyze
the result and draw a conclusion that for limited hardware resources, using
genetic multi-layer perceptron sometimes can be more efficient.

2
The categories of this paper are: math
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an