Cooperative Multi-Agent Systems Using Distributed Reinforcement Learning Techniques

Author:

Zemzem Wiem,Tagina Moncef

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. Reinforcement Learning: An Introduction;Sutton;IEEE Transactions on Neural Networks,1998

2. K. Chen, F. Lin, Q. Tan, Z. Shi, Adaptive action selection using utility-based reinforcement learning, in: 2009 IEEE International Conference on Granular Computing, IEEE, 2009, pp. 67-72.

3. A New Approach for Reinforcement Learning in non Stationary Environment Navigation Tasks;Zemzem;International Review on Computers and Software,2012

4. A novel exploration/exploitation policy accelerating learning in both stationary and non stationary environment navigation tasks;Zemzem;International Journal of Computer and Electrical Engineering,2015

5. E. Yang, D. Gu, Multiagent reinforcement learning for multi-robot systems: A survey, Tech. rep., 2004.

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