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The Role of Network Topology and Opponent Information in Shaping Cooperation in Multi-Agent Reinforcement Learning Systems

arXiv cs.AI · 2026-09-01 Cached

This paper explores the impact of network topology and opponent information on the emergence of cooperation in multi-agent reinforcement learning systems, specifically in the Iterated Prisoner's Dilemma, finding that graph structure and information availability significantly influence cooperative strategies.

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