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194

unknown

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

paper kernel kernels gpytorch regression uncertainty deep-learning meta-learning shot-learning classification kernel-methods bayesian-methods few-shot-learning one-shot-learning gaussian-processes deep-kernel-learning uncertainty-quantification

Created 2019-10-10

53 commits to master branch, last one 2 years ago

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control SimonRennotte

122

mit

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

paper pytorch gpytorch uncertainty control-animation gaussian-processes pytorch-implementation reinforcement-learning model-predictive-control model-based-reinforcement-learning

Created 2020-11-15

166 commits to master branch, last one about a year ago