Parallel Reinforcement Learning with Linear Function Approximation-Reference-Cited by-同舟云学术

Parallel Reinforcement Learning with Linear Function Approximation

Published: Issue: Volume: Page:60-74
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Container-title:Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning
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Author:

Grounds Matthew,Kudenko Daniel

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-77949-0_5.pdf

Reference15 articles.

1. Tan, M.: Multi-agent reinforcement learning: Independent vs. cooperative agents. In: ICML 1993. Proceedings of the Tenth International Conference on Machine Learning, pp. 330–337 (1993)

2. Lecture Notes in Artificial Intelligence;L. Nunes,2003

3. Whitehead, S.D.: A complexity analysis of cooperative mechanisms in reinforcement learning. In: AAAI 1991. Proceedings of the 9th National Conference on Artificial Intelligence, pp. 607–613 (1991)

4. Kretchmar, R.M.: Parallel reinforcement learning. In: SCI 2002. Proceedings of the 6th World Conference on Systemics, Cybernetics, and Informatics (2002)

5. Watkins, C.J.C.H.: Learning from Delayed Rewards. PhD thesis, Cambridge University, U.K. (1989)

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