A Deep Reinforcement Learning based Homeostatic System for Unmanned Position Control

Author:

Dassanayake Priyanthi M.1,Anjum Ashiq1,Manning Warren1,Bower Craig1

Affiliation:

1. University of Derby, Derby, United Kingdom

Publisher

ACM Press

Reference35 articles.

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2. Charlie Baker, Ashiq Anjum, Richard Hill, Nik Bessis, and Saad Liaquat Kiani. 2012. Improving cloud datacentre scalability, agility and performance using OpenFlow. In 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems. IEEE, 20--27.

3. Andrew J Barry, Peter R Florence, and Russ Tedrake. 2018. High-speed autonomous obstacle avoidance with pushbroom stereo. Journal of Field Robotics 35, 1 (2018), 52--68.

4. Marc G Bellemare, Will Dabney, and Rémi Munos. 2017. A distributional perspective on reinforcement learning. In Proceedings of the 34th International Conference on Machine Learning-Volume 70. JMLR. org, PMLR, International Convention Centre, Sydney, Australia, 449--458.

5. Michele Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen, Guillaume Wisniewski, Laurent Cordier, and Lionel Mathelin. 2019. Control of chaotic systems by Deep Reinforcement Learning. (2019). arXiv:arXiv preprint arXiv:1906.07672

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