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cs.LG2021
Automating Control of Overestimation Bias for Reinforcement Learning
Arsenii Kuznetsov, Alexander Grishin, Artem Tsypin +3
Overestimation bias control techniques are used by the majority of high-performing off-policy reinforcement learning algorithms. However, most of these techniques rely on pre-defin…
cs.LG2021★ 3 cited
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations
Arsenii Ashukha, Andrei Atanov, Dmitry Vetrov
Averaging predictions over a set of models -- an ensemble -- is widely used to improve predictive performance and uncertainty estimation of deep learning models. At the same time,…