Bring Color to Deep Q-Networks: Limitations and Improvements of DQN Leading to Rainbow DQN-Reference-Cited by-同舟云学术

Bring Color to Deep Q-Networks: Limitations and Improvements of DQN Leading to Rainbow DQN

Published:2021 Issue: Volume: Page:135-149
ISSN:1860-949X
Container-title:Reinforcement Learning Algorithms: Analysis and Applications
language:
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Author:

Jäger Jonas^ORCID,Helfenstein Felix^ORCID,Scharf Fabian^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-41188-6_12

Reference52 articles.

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3. Bellemare, M.G., Naddaf, Y., Veness, J., Bowling, M.: The arcade learning environment: an evaluation platform for general agents. In: Proceedings of the 24th International Conference on Artificial Intelligence, pp. 4148–4152. AAAI Press (2015)

4. Bellman, R., Corporation, R., Collection, K.M.R.: Dynamic Programming. Rand Corporation research study, Princeton University Press (1957)

5. Bengio, Y.: Learning deep architectures for ai. Found. Trends Mach. Learn. 2(1), 1–127 (2009). https://doi.org/10.1561/2200000006

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