Browsing by Subject "Learning rules"
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Article
Multiagent reinforcement learning with spiking and non-spiking agents in the iterated prisoner's dilemma
(2009)This paper investigates Multiagent Reinforcement Learning (MARL) in a general-sum game where the payoffs' structure is such that the agents are required to exploit each other in a way that benefits all agents. The contradictory ...