Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Prioritized Experience-based Reinforcement Learning with Human Guidance:
  Methdology and Application to Autonomous Driving   Reinforcement learning requires skillful definition and remarkable
computational efforts to solve optimization and control problems, which could
impair its prospect. Introducing human guidance into reinforcement learning is
a promising way to improve learning performance. In this paper, a comprehensive
human guidance-based reinforcement learning framework is established. A novel
prioritized experience replay mechanism that adapts to human guidance in the
reinforcement learning process is proposed to boost the efficiency and
performance of the reinforcement learning algorithm. To relieve the heavy
workload on human participants, a behavior model is established based on an
incremental online learning method to mimic human actions. We design two
challenging autonomous driving tasks for evaluating the proposed algorithm.
Experiments are conducted to access the training and testing performance and
learning mechanism of the proposed algorithm. Comparative results against the
state-of-the-arts suggest the advantages of our algorithm in terms of learning
efficiency, performance, and robustness.

17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc