Reinforcement learning: exploration-exploitation dilemma in multi-agent foraging task

DOI10.1007/S12597-012-0077-2zbMath1353.68244OpenAlexW2094987262MaRDI QIDQ505118

Mohan Yogeswaran, S. G. Ponnambalam

Publication date: 19 January 2017

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-012-0077-2

zbMATH Keywords

reinforcement learning\(\mathcal Q\)-learningexploration-exploitation dilemmalearning policiesmulti-agent foraging

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Near-optimal reinforcement learning in polynomial time
• \({\mathcal Q}\)-learning
• Reinforcement learning and evolutionary algorithms for non-stationary multi-armed bandit problems
• A new approach to the design of reinforcement schemes for learning automata

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