Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Social learning spontaneously emerges by searching optimal heuristics
  with deep reinforcement learning   How have individuals of social animals in nature evolved to learn from each
other, and what would be the optimal strategy for such learning in a specific
environment? Here, we address both problems by employing a deep reinforcement
learning model to optimize the social learning strategies (SLSs) of agents in a
cooperative game in a multi-dimensional landscape. Throughout the training for
maximizing the overall payoff, we find that the agent spontaneously learns
various concepts of social learning, such as copying, focusing on frequent and
well-performing neighbors, self-comparison, and the importance of balancing
between individual and social learning, without any explicit guidance or prior
knowledge about the system. The SLS from a fully trained agent outperforms all
of the traditional, baseline SLSs in terms of mean payoff. We demonstrate the
superior performance of the reinforcement learning agent in various
environments, including temporally changing environments and real social
networks, which also verifies the adaptability of our framework to different
social settings.

30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph