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Learning and Adaption in Multi-Agent Systems

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11691839_1openalex-snapshot
An Overview of Cooperative and Competitive Multiagent Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Overview of Cooperative and Competitive Multiagent Learning
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Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning
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Machine Learning and Multiagent Systems as Interrelated Technologies
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An Improved Learning Automata Approach for the Route Choice Problem
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Speeding up learning automata based multi agent systems using the concepts of stigmergy and entropy
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Generating inspiration for agent design by reinforcement learning
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RevAP: A bankruptcy-based algorithm to solve the multi-agent credit assignment problem in task start threshold-based multi-agent systems
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Transfer Learning for Multiagent Reinforcement Learning Systems
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Vers une agentification de comportements observés : une approche originale basée sur l’apprentissage automatique pour la simulation d’un environnement réel
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