Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL   Whittle index policy is a powerful tool to obtain asymptotically optimal
solutions for the notoriously intractable problem of restless bandits. However,
finding the Whittle indices remains a difficult problem for many practical
restless bandits with convoluted transition kernels. This paper proposes
NeurWIN, a neural Whittle index network that seeks to learn the Whittle indices
for any restless bandits by leveraging mathematical properties of the Whittle
indices. We show that a neural network that produces the Whittle index is also
one that produces the optimal control for a set of Markov decision problems.
This property motivates using deep reinforcement learning for the training of
NeurWIN. We demonstrate the utility of NeurWIN by evaluating its performance
for three recently studied restless bandit problems. Our experiment results
show that the performance of NeurWIN is significantly better than other RL
algorithms.

25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an