Johannes G. Slootweg

IEEE Transactions on Smart Grid · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Johannes G. Slootweg trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew L. Maas (in Model Architectures)

Papers from Johannes G. Slootweg's perspective

Ordered by how strongly the researchers Johannes G. Slootweg trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Human-level control through deep reinforcement learning
  2. Asynchronous Methods for Deep Reinforcement Learning
  3. Deep Sparse Rectifier Neural Networks
  4. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  5. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  6. High-Dimensional Continuous Control Using Generalized Advantage Estimation
  7. On rectified linear units for speech processing
  8. Reinforcement learning of motor skills with policy gradients
  9. Deep learning for estimating building energy consumption
  10. Building energy load forecasting using Deep Neural Networks (Annual Conference of the IEEE Industrial Electronics Society)

Their papers