8 citations · 12 across the 9 of their papers we have counts for
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cs.LG2023
One-Step Distributional Reinforcement Learning
Mastane Achab, Reda Alami, Yasser Abdelaziz Dahou Djilali +2
Reinforcement learning (RL) allows an agent interacting sequentially with an environment to maximize its long-term expected return. In the distributional RL (DistrRL) paradigm, the…
cs.LG2020★ 1 cited
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling
Kirill Fedyanin, Evgenii Tsymbalov, Maxim Panov
Uncertainty estimation for machine learning models is of high importance in many scenarios such as constructing the confidence intervals for model predictions and detection of out-…