Alexander Pritzel
3 papers in the PaperMetrix corpus
Papers by this author
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Fast deep reinforcement learning using online adjustments from the past
2018 · arXiv (Cornell University)
We propose Ephemeral Value Adjusments (EVA): a means of allowing deep reinforcement learning agents to rapidly adapt to experience in their replay buffer. EVA shifts the value predicted by a neural network with an estimate …
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Simple and Scalable Predictive Uncertainty Estimation using Deep\n Ensembles
2016 · arXiv (Cornell University)
Deep neural networks (NNs) are powerful black box predictors that have\nrecently achieved impressive performance on a wide spectrum of tasks.\nQuantifying predictive uncertainty in NNs is a challenging and yet unsolved\nproblem. Bayesian NNs, which learn a …
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Never Give Up: Learning Directed Exploration Strategies
2020 · arXiv (Cornell University)
We propose a reinforcement learning agent to solve hard exploration games by learning a range of directed exploratory policies. We construct an episodic memory-based intrinsic reward using k-nearest neighbors over the agent's recent experience to …