Towards Learning a Generic Agent forVision-and-Language Navigation via Pre-training
Table 8: Comparison with related works.
['(a) Press', '(b) VLP']
A3SS0SSS0Px1 Comparison with Press. Empirically, we show that (1) incorporating visual and action information into pre-training can improve navigation performance; (2) Pre-training can generalize across different new navigation tasks.