Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MicroRacer: a didactic environment for Deep Reinforcement Learning   MicroRacer is a simple, open source environment inspired by car racing
especially meant for the didactics of Deep Reinforcement Learning. The
complexity of the environment has been explicitly calibrated to allow users to
experiment with many different methods, networks and hyperparameters settings
without requiring sophisticated software or the need of exceedingly long
training times. Baseline agents for major learning algorithms such as DDPG,
PPO, SAC, TD2 and DSAC are provided too, along with a preliminary comparison in
terms of training time and performance.

18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess