Andrew Cowie

Reinforcement Learning · 2020–2021

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Cowie trusts

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

  1. Sergey Levine (in Artificial Intelligence)
  2. Richard S. Sutton (in Reinforcement Learning)
  3. David Silver (in Reinforcement Learning)

Papers from Andrew Cowie's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Asynchronous Methods for Deep Reinforcement Learning
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Human-level control through deep reinforcement learning
  5. Trust Region Policy Optimization (International Conference on Machine Learning)
  6. Reinforcement Learning: An Introduction
  7. Proximal Policy Optimization Algorithms (arXiv.org)
  8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  9. The Arcade Learning Environment: An Evaluation Platform for General Agents
  10. MuJoCo: A physics engine for model-based control

Their papers