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Found 3 papers, 2 papers with code
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation
In this work, we compare the state-of-the-art Deep Reinforcement Learning based approaches with Partially Observable Markov Decision Process (POMDP) formulation of the point goal navigation problem.
Learning-Augmented Model-Based Planning for Visual Exploration
Our approach surpasses the greedy strategies by 2. 1% and the RL-based exploration methods by 8. 4% in terms of coverage.
Towards More Equitable Question Answering Systems: How Much More Data Do You Need?
Question answering (QA) in English has been widely explored, but multilingual datasets are relatively new, with several methods attempting to bridge the gap between high- and low-resourced languages using data augmentation through translation and cross-lingual transfer.
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