Continuous state/action reinforcement learning: A growing self-organizing map approach

Author:

Montazeri Hesam,Moradi Sajjad,Safabakhsh Reza

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Reinforcement Learning: An Introduction;Sutton,1998

2. Neural Dynamic Programming;Bertsekas,1996

3. A.J. Smith, Dynamic generalisation of continuous action spaces in reinforcement learning: a neurally inspired approach, Ph.D. Dissertation, Division of Informatics, Edinburgh University, UK, 2001.

4. M. Wiering, Multi-agent reinforcement learning for traffic light control, machine learning, in: Proceedings of the Seventeenth International Conference (ICML'2000), 2000, pp. 1151–1158.

5. Reinforcement learning for true adaptive traffic signal control;Abdulhai;Journal of Transportation Engineering—ASCE,2003

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