Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive
  Control   In this paper we aim to provide analysis and insights (often based on
visualization), which explain the beneficial effects of on-line decision making
on top of off-line training. In particular, through a unifying abstract
mathematical framework, we show that the principal AlphaZero/TD-Gammon ideas of
approximation in value space and rollout apply very broadly to deterministic
and stochastic optimal control problems, involving both discrete and continuous
search spaces. Moreover, these ideas can be effectively integrated with other
important methodologies such as model predictive control, adaptive control,
decentralized control, discrete and Bayesian optimization, neural network-based
value and policy approximations, and heuristic algorithms for discrete
optimization.

28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc