An Optimal Re-parametrization Scheme for Generalization in Reinforcement Learning-Reference-Cited by-同舟云学术

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An Optimal Re-parametrization Scheme for Generalization in Reinforcement Learning

Published:2023-10-11 Issue: Volume:1 Page:13-17
ISSN:
Container-title:2023 14th International Conference on Information and Communication Technology Convergence (ICTC)
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Author:

Ivan Dzeuban Fenyom¹,Ajani Oladayo S.¹,Mallipeddi Rammohan¹

Affiliation:

1. Kyungpook National University,Department of Artificial Intelligence,Daegu,Republic of Korea

Funder

National Research Foundation

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391854/10391860/10393351.pdf?arnumber=10393351

Reference23 articles.

1. Reinforcement learning for control: Performance, stability, and deep approximators

2. Adaptive evolution strategy with ensemble of mutations for Reinforcement Learning

3. Playing atari with deep reinforcement learning;Mnih,2013

4. Mastering the game of Go without human knowledge

5. Grandmaster level in StarCraft II using multi-agent reinforcement learning

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