10.1k citations · 13.1k across the 22 of their papers we have counts for
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stat.ML2016★ 733 cited
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell
Deep neural networks (NNs) are powerful black box predictors that have recently achieved impressive performance on a wide spectrum of tasks. Quantifying predictive uncertainty in N…
cs.LG2016★ 451 cited
Deep Exploration via Bootstrapped DQN
Ian Osband, Charles Blundell, Alexander Pritzel +1
Efficient exploration in complex environments remains a major challenge for reinforcement learning. We propose bootstrapped DQN, a simple algorithm that explores in a computational…