Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Safe multi-agent deep reinforcement learning for joint bidding and
  maintenance scheduling of generation units   This paper proposes a safe reinforcement learning algorithm for generation
bidding decisions and unit maintenance scheduling in a competitive electricity
market environment. In this problem, each unit aims to find a bidding strategy
that maximizes its revenue while concurrently retaining its reliability by
scheduling preventive maintenance. The maintenance scheduling provides some
safety constraints which should be satisfied at all times. Satisfying the
critical safety and reliability constraints while the generation units have an
incomplete information of each others' bidding strategy is a challenging
problem. Bi-level optimization and reinforcement learning are state of the art
approaches for solving this type of problems. However, neither bi-level
optimization nor reinforcement learning can handle the challenges of incomplete
information and critical safety constraints. To tackle these challenges, we
propose the safe deep deterministic policy gradient reinforcement learning
algorithm which is based on a combination of reinforcement learning and a
predicted safety filter. The case study demonstrates that the proposed approach
can achieve a higher profit compared to other state of the art methods while
concurrently satisfying the system safety constraints.

37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph