Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation

Author:

Ai Bo,Wu Zhanxin,Hsu David

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Ai, B., Gao, W., Hsu, D.: Deep visual navigation under partial observability. In: ICRA, pp. 9439–9446. IEEE (2022)

2. Sax, A., et al.: Learning to navigate using mid-level visual priors. In: CoRL, Proceedings of Machine Learning Research (2019)

3. Zamir, A.R., et al.: Taskonomy: disentangling task transfer learning. In: CVPR, pp. 3712–3722 (2018)

4. Ben-David, S., Blitzer, J., Crammer, K., Pereira, F.: Analysis of representations for domain adaptation. In: NeurIPS, pp. 137–144 (2006)

5. Chen, B., et al.: Robust policies via mid-level visual representations: an experimental study in manipulation and navigation. In: CoRL, vol. 155, pp. 2328–2346. PMLR (2020)

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