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Article
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not stationary and the Markov pro...
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Chapter and Conference Paper
Decommitment in a Competitive Multi-Agent Transportation Setting
Decommitment is the action of foregoing of a contract for another (superior) offer. It has been analytically shown that, using decommitment, agents can reach higher utility levels in case of negotiations with ...