Coordinating Learning Agents for Multiple Resource Job Scheduling

Author:

Tumer Kagan,Lawson John

Publisher

Springer Berlin Heidelberg

Reference49 articles.

1. Agogino, A.K., Tumer, K.: Handling communication restrictions and team formation in congestion games. Journal of Autonomous Agents and Multi Agent Systems 13(1), 97–115 (2006)

2. Agogino, A.K., Tumer, K.: Analyzing and visualizing multiagent rewards in dynamic and stochastic environments. Journal of Autonomous Agents and Multi Agent Systems 17(2), 320–338 (2008)

3. Agogino, A.K., Tumer, K.: Efficient evaluation functions for evolving coordination. Evolutionary Computation 16(2), 257–288 (2008)

4. Akkiraju, R., Keskinocak, P., Murthy, S., Wu, F.: An agent-based approach for scheduling multiple machines. Applied Intelligence 14(2), 867–872 (2005)

5. Boyan, J.A., Littman, M.: Packet routing in dynamically changing networks: A reinforcement learning approach. In: Advances in Neural Information Processing Systems, vol. 6, pp. 671–678. Morgan Kaufmann, San Francisco (1994)

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