Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improved POMDP Tree Search Planning with Prioritized Action Branching   Online solvers for partially observable Markov decision processes have
difficulty scaling to problems with large action spaces. This paper proposes a
method called PA-POMCPOW to sample a subset of the action space that provides
varying mixtures of exploitation and exploration for inclusion in a search
tree. The proposed method first evaluates the action space according to a score
function that is a linear combination of expected reward and expected
information gain. The actions with the highest score are then added to the
search tree during tree expansion. Experiments show that PA-POMCPOW is able to
outperform existing state-of-the-art solvers on problems with large discrete
action spaces.

7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
3
The categories of this paper are: physics