Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Socially Aware Reinforcement Learning Agent for The Single Track Road
  Problem   We present the single track road problem. In this problem two agents face
each-other at opposite positions of a road that can only have one agent pass at
a time. We focus on the scenario in which one agent is human, while the other
is an autonomous agent. We run experiments with human subjects in a simple grid
domain, which simulates the single track road problem. We show that when data
is limited, building an accurate human model is very challenging, and that a
reinforcement learning agent, which is based on this data, does not perform
well in practice. However, we show that an agent that tries to maximize a
linear combination of the human's utility and its own utility, achieves a high
score, and significantly outperforms other baselines, including an agent that
tries to maximize only its own utility.

36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio