Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives-Reference-Cited by-同舟云学术

Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives

Published:2022-10-23 Issue: Volume: Page:
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Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Akmandor Neset Unver¹,Li Hongyu²,Lvov Gary¹,Dusel Eric¹,Padir Taskin³

Affiliation:

1. Northeastern University,Department of Electrical and Computer Engineering,Boston,MA,USA,02115

2. Khoury College of Computer Sciences, Northeastern University,Boston,MA,USA,02115

3. Institute for Experiential Robotics,Boston,MA,USA,02115

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982133.pdf?arnumber=9982133

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5. Proximal policy optimization algorithms;schulman;ArXiv Preprint,2017

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