most citedA game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 5 cited

A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning

Arnu Pretorius, Scott Cameron, Elan van Biljon +6

Multi-agent reinforcement learning has recently shown great promise as an approach to networked system control. Arguably, one of the most difficult and important tasks for which la…