- Published
- 2021-02-10
- Venue
- IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 6, pp. 4909-4926
- Cited by
- 2,334
- Open access
- Yes, green
- DOI
- 10.1109/tits.2021.3054625
Abstract
With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of learning complex policies in high dimensional environments. This review summarises deep reinforcement learning (DRL) algorithms and provides a taxonomy of automated driving tasks where (D)RL methods have been employed, while addressing key computational challenges in real world deployment of autonomous driving agents. It also delineates adjacent domains such as behavior cloning, imitation learning, inverse reinforcement learning that are related but are not classical RL algorithms. The role of simulators in training agents, methods to validate, test and robustify existing solutions in RL are discussed.
Cite this paper
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- APA 7
Kiran, B. R., Sobh, I., Talpaert, V., Mannion, P., Sallab, A. A. A., Yogamani, S. K., & Pérez, P. (2021). Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Transactions on Intelligent Transportation Systems, 23(6), 4909–4926. https://doi.org/10.1109/tits.2021.3054625
- MLA 9
Kiran, Bangalore Ravi, et al. "Deep Reinforcement Learning for Autonomous Driving: A Survey." IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 6, 2021, pp. 4909–4926, https://doi.org/10.1109/tits.2021.3054625.
- Chicago
Kiran, Bangalore Ravi, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, and Patrick Pérez. "Deep Reinforcement Learning for Autonomous Driving: A Survey." IEEE Transactions on Intelligent Transportation Systems 23, no. 6 (2021): 4909–4926. https://doi.org/10.1109/tits.2021.3054625.
- GOST
Kiran B. R., Sobh I., Talpaert V. [и др.] Deep Reinforcement Learning for Autonomous Driving: A Survey // IEEE Transactions on Intelligent Transportation Systems. — 2021. — Vol. 23, № 6. — P. 4909–4926. — URL: https://doi.org/10.1109/tits.2021.3054625
- BibTeX
@article{kiran2021deep, title = {{Deep Reinforcement Learning for Autonomous Driving: A Survey}}, author = {Bangalore Ravi Kiran and Ibrahim Sobh and Victor Talpaert and Patrick Mannion and Ahmad A. Al Sallab and Senthil Kumar Yogamani and Patrick Pérez}, journal = {IEEE Transactions on Intelligent Transportation Systems}, year = {2021}, volume = {23}, number = {6}, pages = {4909--4926}, doi = {10.1109/tits.2021.3054625}, url = {https://doi.org/10.1109/tits.2021.3054625} }- RIS
TY - JOUR AU - Kiran, Bangalore Ravi AU - Sobh, Ibrahim AU - Talpaert, Victor AU - Mannion, Patrick AU - Sallab, Ahmad A. Al AU - Yogamani, Senthil Kumar AU - Pérez, Patrick TI - Deep Reinforcement Learning for Autonomous Driving: A Survey JO - IEEE Transactions on Intelligent Transportation Systems VL - 23 IS - 6 SP - 4909 EP - 4926 PY - 2021 DA - 2021/02/10 DO - 10.1109/tits.2021.3054625 UR - https://doi.org/10.1109/tits.2021.3054625 ER -
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