Sequential Masking Imitation Learning for Handling Causal Confusion in Autonomous Driving

Author:

Zhang Huanghui,Zheng Zhi

Publisher

Springer Nature Singapore

Reference19 articles.

1. Saha, A., Mendez, O., Russell, C., Bowden, R.: Translating images into maps. In: 2022 IEEE International Conference on Robotics and Automation (ICRA). IEEE (2022)

2. Hadfield-Menell, D., Milli, S., Abbeel, P., Russell, S.J., Dragan, A.: Inverse reward design. In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 30. Curran Associates, Inc. (2017)

3. de Haan, P., Jayaraman, D., Levine, S.: Causal confusion in imitation learning. In: Wallach, H., Larochelle, H., Beygelzimer, A., d’Alché-Buc, F., Fox, E., Garnett, R. (eds.) Advances in Neural Information Processing System, vol. 32. Curran Associates, Inc. (2019)

4. Chen, J., Xu, Z., Tomizuka, M.: End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning. arXiv e-prints arXiv:2003.12464 (Mar 2020)

5. Park, J., et al.: Object-aware regularization for addressing causal confusion in imitation learning. In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W. (eds.) Advances in Neural Information Processing Systems, vol. 34, pp. 3029–3042. Curran Associates, Inc. (2021)

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1. Imitating with Sequential Masks: Alleviating Causal Confusion in Autonomous Driving;Journal of Advanced Computational Intelligence and Intelligent Informatics;2024-07-20

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