A. Larcher

Artificial Intelligence · 2019

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

Subfields

Whom A. Larcher trusts overall

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

  1. Nikolaus Hansen

Papers from A. Larcher's perspective

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

  1. Long Short-Term Memory
  2. Asynchronous Methods for Deep Reinforcement Learning
  3. Proximal Policy Optimization Algorithms (arXiv.org)
  4. Prioritized Experience Replay
  5. Learning to predict by the methods of temporal differences
  6. Temporal Difference Learning and TD-Gammon
  7. Domain randomization for transferring deep neural networks from simulation to the real world
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. An Actor-Critic Algorithm for Sequence Prediction

Their papers