Communication-Less Cooperative Q-Learning Agents in Maze Problem-Reference-Cited by-同舟云学术

Communication-Less Cooperative Q-Learning Agents in Maze Problem

Published:2016-11-09 Issue: Volume: Page:453-467
ISSN:2363-6084
Container-title:Proceedings in Adaptation, Learning and Optimization
language:
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Author:

Uwano Fumito,Takadama Keiki

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-49049-6_33

Reference11 articles.

1. Yong-Jae Kim Kui-Hong Park and Jong-Hwan Kim. Modular q-learning based multi-agent cooperation for robot soccer. Robotics and Autonomous System, pages 3026–3033, 2015.

2. Michael Camara, Oliver Bonham-Carter, and Janyl Jumadinova. A multi-agent system with reinforcement learning agents for biomedical text mining. In Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics, BCB ’15, pages 634–643, New York, NY, USA, 2015. ACM.

3. H. Iima and Y. Kuroe. Swarm reinforcement learning methods improving certainty of learning for a multi-robot formation problem. CEC, pages 3026–3033, May 2015.

4. Y. Ichikawa and K. Takadama. Designing internal reward of reinforcement learning agents in multi-step dilemma problem. Journal of Computational Intelligence and Intelligent Informatics, JACIII, 17(6):926–931, 2013.

5. M. Gini M. Elidrisi, N. Johnson and J. Crandall. Fast adaptive learning in repeated stochastic games by game abstraction. AAMAS, pages 1141–1148, May 2014.

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