Adam Jedrych

Artificial Intelligence · 2018

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 Adam Jedrych trusts overall

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

  1. Diederik P. Kingma

Papers from Adam Jedrych's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Human-level control through deep reinforcement learning
  3. Asynchronous Methods for Deep Reinforcement Learning
  4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  8. Proximal Policy Optimization Algorithms (arXiv.org)
  9. The Arcade Learning Environment: An Evaluation Platform for General Agents
  10. Long Short-Term Memory

Their papers