Social Navigation with Human Empowerment Driven Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Social Navigation with Human Empowerment Driven Deep Reinforcement Learning

Published:2020 Issue: Volume: Page:395-407
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2020
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Author:

van der Heiden Tessa,Mirus Florian,van Hoof Herke

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-61616-8_32

Reference32 articles.

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2. Bansal, S., Tolani, V., Gupta, S., Malik, J., Tomlin, C.: Combining optimal control and learning for visual navigation in novel environments. arXiv preprint arXiv:1903.02531 (2019)

3. Burda, Y., Grosse, R., Salakhutdinov, R.: Importance weighted autoencoders. arXiv preprint arXiv:1509.00519 (2015)

4. Chen, Y., Everett, M., Liu, M., How, J.P.: Socially aware motion planning with deep reinforcement learning. In: 2017 IEEE/RSJ IROS, pp. 1343–1350. IEEE (2017)

5. Chen, Y., Liu, M., Everett, M., How, J.P.: Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning. In: 2017 IEEE ICRA, pp. 285–292. IEEE (2017)

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