Hybrid reinforcement learning with expert state sequences
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
T. Parsons originally proposed and studied the following pursuit-evasion problem on graphs: Members of a team of searchers traverse the edges of a graph G in pursuit of a fugitive, who moves along the edges of the graph with complete knowledge of the locations of the pursuers. What is the smallest number s(G) of searchers that will suffice for guaranteeing capture of the fugitive? It is shown that determining whether s(G) ≤ K, for a given integer K, is NP-complete for general graphs but can be solved in linear time for trees. We also provide a structural characterization of those graphs G with s(G) ≤ K for K = 1, 2, 3. © 1988, ACM. All rights reserved.
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
Rama Akkiraju, Pinar Keskinocak, et al.
Applied Intelligence
Ira Pohl
Artificial Intelligence
R. Sebastian, M. Weise, et al.
ECPPM 2022