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Found 4 papers, 2 papers with code
BabyAI 1.1
This increases reinforcement learning sample efficiency by up to 3 times and improves imitation learning performance on the hardest level from 77 % to 90. 4 %.
A Benchmark of Medical Out of Distribution Detection
However it is unclear which OoDD method should be used in practice.
Combating False Negatives in Adversarial Imitation Learning
In adversarial imitation learning, a discriminator is trained to differentiate agent episodes from expert demonstrations representing the desired behavior.
Which MOoD Methods work? A Benchmark of Medical Out of Distribution Detection
There is a rise in the use of deep learning for automated medical diagnosis, most notably in medical imaging.
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