Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Approximate optimal cooperative decentralized control for consensus in a
  topological network of agents with uncertain nonlinear dynamics   Efforts in this paper seek to combine graph theory with adaptive dynamic
programming (ADP) as a reinforcement learning (RL) framework to determine
forward-in-time, real-time, approximate optimal controllers for distributed
multi-agent systems with uncertain nonlinear dynamics. A decentralized
continuous time-varying control strategy is proposed, using only local
communication feedback from two-hop neighbors on a communication topology that
has a spanning tree. An actor-critic-identifier architecture is proposed that
employs a nonlinear state derivative estimator to estimate the unknown dynamics
online and uses the estimate thus obtained for value function approximation.

0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an