%0 Conference Paper %1 Kaisers2009 %A Kaisers, Michael %A Tuyls, Karl %A Parsons, Simon %B Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009) %D 2009 %I International Foundation for AAMAS %K auctions,dynamics,evolutionary game learning,q-learning,replicator theory,multi-agent %P 1255--1256 %T An Evolutionary Model of Multi-agent Learning with a Varying Exploration Rate (Extended Abstract) %X Multi-agent learning is a challenging problem and has recently attracted increased attention by the research community 4, 5. It promises control over complex multi-agent systems such that agents enact a global desired behavior while operating on local knowledge.

@inproceedings{Kaisers2009, abstract = {Multi-agent learning is a challenging problem and has recently attracted increased attention by the research community [4, 5]. It promises control over complex multi-agent systems such that agents enact a global desired behavior while operating on local knowledge.}, added-at = {2016-12-19T12:09:05.000+0100}, author = {Kaisers, Michael and Tuyls, Karl and Parsons, Simon}, biburl = {https://www.bibsonomy.org/bibtex/245ea7764836f520c1d278fb063cc6d84/swarmlab}, booktitle = {Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009)}, interhash = {f4ce13dcf6f483293b30e902361e81c5}, intrahash = {45ea7764836f520c1d278fb063cc6d84}, keywords = {auctions,dynamics,evolutionary game learning,q-learning,replicator theory,multi-agent}, pages = {1255--1256}, publisher = {International Foundation for AAMAS}, timestamp = {2016-12-19T12:18:59.000+0100}, title = {{An Evolutionary Model of Multi-agent Learning with a Varying Exploration Rate (Extended Abstract)}}, year = 2009 }