An evolutionary model of multi-agent learning with a varying exploration rate

Michael Kaisers, Karl Tuyls, Frank Thuijsman, S. Parsons

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Original languageEnglish
Title of host publicationProceedings of the 8-th International Conference on Autonomous Agents and Multiagent Systems
PublisherACM
Pages1255-1256
Publication statusPublished - 2009

Cite this

Kaisers, M., Tuyls, K., Thuijsman, F., & Parsons, S. (2009). An evolutionary model of multi-agent learning with a varying exploration rate. In Proceedings of the 8-th International Conference on Autonomous Agents and Multiagent Systems (pp. 1255-1256). ACM.
Kaisers, Michael ; Tuyls, Karl ; Thuijsman, Frank ; Parsons, S. / An evolutionary model of multi-agent learning with a varying exploration rate. Proceedings of the 8-th International Conference on Autonomous Agents and Multiagent Systems. ACM, 2009. pp. 1255-1256
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Kaisers, M, Tuyls, K, Thuijsman, F & Parsons, S 2009, An evolutionary model of multi-agent learning with a varying exploration rate. in Proceedings of the 8-th International Conference on Autonomous Agents and Multiagent Systems. ACM, pp. 1255-1256.

An evolutionary model of multi-agent learning with a varying exploration rate. / Kaisers, Michael; Tuyls, Karl; Thuijsman, Frank; Parsons, S.

Proceedings of the 8-th International Conference on Autonomous Agents and Multiagent Systems. ACM, 2009. p. 1255-1256.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

TY - GEN

T1 - An evolutionary model of multi-agent learning with a varying exploration rate

AU - Kaisers, Michael

AU - Tuyls, Karl

AU - Thuijsman, Frank

AU - Parsons, S.

PY - 2009

Y1 - 2009

M3 - Conference article in proceeding

SP - 1255

EP - 1256

BT - Proceedings of the 8-th International Conference on Autonomous Agents and Multiagent Systems

PB - ACM

ER -

Kaisers M, Tuyls K, Thuijsman F, Parsons S. An evolutionary model of multi-agent learning with a varying exploration rate. In Proceedings of the 8-th International Conference on Autonomous Agents and Multiagent Systems. ACM. 2009. p. 1255-1256