Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Potential of the Return Distribution for Exploration in RL   This paper studies the potential of the return distribution for exploration
in deterministic reinforcement learning (RL) environments. We study network
losses and propagation mechanisms for Gaussian, Categorical and Gaussian
mixture distributions. Combined with exploration policies that leverage this
return distribution, we solve, for example, a randomized Chain task of length
100, which has not been reported before when learning with neural networks.

22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math