20 citations · 55 across the 12 of their papers we have counts for
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cs.AI2021
Multi-Agent Reinforcement Learning with Temporal Logic Specifications
Lewis Hammond, Alessandro Abate, Julian Gutierrez +1
In this paper, we study the problem of learning to satisfy temporal logic specifications with a group of agents in an unknown environment, which may exhibit probabilistic behaviour…
cs.AI2017★ 7 cited
Game-theoretic Network Centrality: A Review
Mateusz K. Tarkowski, Tomasz P. Michalak, Talal Rahwan +1
Game-theoretic centrality is a flexible and sophisticated approach to identify the most important nodes in a network. It builds upon the methods from cooperative game theory and ne…