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Researcher profile

Charles Blundell

5 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. 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 …

  2. 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 …

  3. 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 …

  4. Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

    2022 · arXiv (Cornell University)

    Despite recent progress made by self-supervised methods in representation learning with residual networks, they still underperform supervised learning on the ImageNet classification benchmark, limiting their applicability in performance-critical settings. Building on prior theoretical insights from …

  5. Distributed Bayesian Learning with Stochastic Natural-gradient\n Expectation Propagation and the Posterior Server

    2015 · arXiv (Cornell University)

    This paper makes two contributions to Bayesian machine learning algorithms.\nFirstly, we propose stochastic natural gradient expectation propagation (SNEP),\na novel alternative to expectation propagation (EP), a popular variational\ninference algorithm. SNEP is a black box variational algorithm, …