Autonomous Motion Control Using Deep Reinforcement Learning for Exploration Robot on Rough Terrain-Reference-Cited by-同舟云学术

Autonomous Motion Control Using Deep Reinforcement Learning for Exploration Robot on Rough Terrain

Published:2022-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/SICE International Symposium on System Integration (SII)
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Author:

Wang Zijie¹,Ji Yonghoon¹,Fujii Hiromitsu²,Kono Hitoshi³

Affiliation:

1. Japan Advanced Institute of Science and Technology,Graduate School for Advanced Science and Technology,Nomi,Japan

2. Chiba Institute of Technology,Department of Advanced Robotics,Chiba,Japan

3. Tokyo Polytechnic University,Department of Engineering,Atsugi,Japan

Funder

Japan Atomic Energy Agency

Publisher

IEEE

Link

Reference10 articles.

1. A method for mobile robot navigation on rough terrain;ye;Proceedings of the 2004 IEEE International Conference on Robotics and Automation,2004

3. Deep sparse rectifier neural networks;glorot;Proceedings of the 14th International Conference on Artificial Intelligence and Statistics,2011

5. Playing atari with deep reinforcement learning;mnih,2013

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