Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adapting Surprise Minimizing Reinforcement Learning Techniques for
  Transactive Control   Optimizing prices for energy demand response requires a flexible controller
with ability to navigate complex environments. We propose a reinforcement
learning controller with surprise minimizing modifications in its architecture.
We suggest that surprise minimization can be used to improve learning speed,
taking advantage of predictability in peoples' energy usage. Our architecture
performs well in a simulation of energy demand response. We propose this
modification to improve functionality and save in a large scale experiment.

20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int