Abstract
This paper presents some methods of dealing with the problem of cooperative learning in a multi-agent system, in error prone environments. A system is developed that learns by reinforcement and is robust to errors that can come from the agents’ sensors, from another agent that shares wrong information or even from the communication channel.
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Sousa, C.O.e., Custódio, L. (2006). Dealing with Errors in a Cooperative Multi-agent Learning System. In: Tuyls, K., Hoen, P.J., Verbeeck, K., Sen, S. (eds) Learning and Adaption in Multi-Agent Systems. LAMAS 2005. Lecture Notes in Computer Science(), vol 3898. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11691839_8
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DOI: https://doi.org/10.1007/11691839_8
Publisher Name: Springer, Berlin, Heidelberg
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