Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving
Author:
Affiliation:
1. Nanyang Technological University,School of Mechanical and Aerospace Engineering,Singapore,639798
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827073.pdf?arnumber=9827073
Reference25 articles.
1. End-to-End Driving Via Conditional Imitation Learning
2. Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding;huang;IEEE Sensors Journal,2020
3. Imitating driver behavior with generative adversarial networks
4. Sqil: Imitation learning via reinforcement learning with sparse rewards;reddy;arXiv preprint arXiv 1905 11108,2019
5. A Deep Reinforcement Learning Algorithm with Expert Demonstrations and Supervised Loss and its application in Autonomous Driving
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