Robotic Arm Control and Task Training Through Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Robotic Arm Control and Task Training Through Deep Reinforcement Learning

Published:2022 Issue: Volume: Page:532-550
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Franceschetti Andrea,Tosello Elisa,Castaman Nicola,Ghidoni Stefano

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-95892-3_41

Reference28 articles.

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3. Silver, D., Lever, G., Heess, N., Degris, T., Wierstra, T., Riedmiller, M.: Deterministic policy gradient algorithms. In: Proceedings of the 31st International Conference on Machine Learning, ICML-14, pp. 387–395 (2014)

4. Gu, S., Lillicrap, T., Sutskever, I., Levine, S.: Continuous deep q-learning with model-based acceleration. In: International Conference on Machine Learning, pp. 2829–2838 (2016)

5. Varin, P., Grossman, L., Kuindersma, S.: A comparison of action spaces for learning manipulation tasks. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6015–6021 (2019)

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