Adversarial Reinforcement Learning for Steering Cars from Virtual to Real World

Author:

Lin Shiquan,Li Yifan,Fang Yuchun

Publisher

Springer Nature Singapore

Reference18 articles.

1. Bojarski, M., et al.: End to end learning for self-driving cars. arXiv preprint arXiv:1604.07316 (2016)

2. Chen, S.: Autopilot-tensorflow, vol. 1, no. 5, p. 6 (2016). https://github.com/SullyChen/Autopilot-TensorFlow

3. Cordts, M., et al.: The cityscapes dataset for semantic urban scene understanding. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3213–3223 (2016)

4. Ganin, Y., Lempitsky, V.: Unsupervised domain adaptation by backpropagation. In: International Conference on Machine Learning, pp. 1180–1189. PMLR (2015)

5. Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V.: Domain-adversarial training of neural networks. J. Mach. Learn. Res. 17(1), 2096–2130 (2016)

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