Robust and Interpretable Grounding of Spatial References with Relation Networks
(b) Goal navigation with RL
['[EMPTY]', 'PW local PQ ↑', 'PW local MD ↓', 'PW global PQ ↑', 'PW global MD ↓', 'ISI PQ ↑', 'ISI MD ↓']
Our model obtains a slightly higher accuracy of 72% on classification compared to 71% by t-VGG, and outperforms the baselines in MSE and policy quality (PQ) in all settings. Under MD, our model is competitive with the baselines and achieves significantly higher scores in some cases.