Denys Makoviichuk

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Denys Makoviichuk trusts overall

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

  1. John Schulman
  2. Tabish Rashid
  3. Wendelin Böhmer

Papers from Denys Makoviichuk's perspective

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

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. Trust Region Policy Optimization (International Conference on Machine Learning)
  3. Proximal Policy Optimization Algorithms (arXiv.org)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Reinforcement Learning: An Introduction

Their papers