A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning Arnu Pretorius InstaDeep Cape Town, South Africa Scott Cameron

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 large scale networked system control is applicable is common-pool resource management.