Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Synthesizing Chemical Plant Operation Procedures using Knowledge,
  Dynamic Simulation and Deep Reinforcement Learning   Chemical plants are complex and dynamical systems consisting of many
components for manipulation and sensing, whose state transitions depend on
various factors such as time, disturbance, and operation procedures. For the
purpose of supporting human operators of chemical plants, we are developing an
AI system that can semi-automatically synthesize operation procedures for
efficient and stable operation. Our system can provide not only appropriate
operation procedures but also reasons why the procedures are considered to be
valid. This is achieved by integrating automated reasoning and deep
reinforcement learning technologies with a chemical plant simulator and
external knowledge. Our preliminary experimental results demonstrate that it
can synthesize a procedure that achieves a much faster recovery from a
malfunction compared to standard PID control.

23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
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The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat