Malcolm I. Heywood

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Malcolm I. Heywood trusts overall

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

  1. John R. Koza
  2. Marc G. Bellemare
  3. Matthew J. Hausknecht
  4. Volodymyr Mnih

Who trusts Malcolm I. Heywood overall

  1. Michael O'Neill
  2. Dennis G. Wilson
  3. Bartosz Kostka
  4. Marlos C. Machado
  5. Lee Spector

Papers from Malcolm I. Heywood's perspective

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

  1. The Arcade Learning Environment: An Evaluation Platform for General Agents
  2. Human-level control through deep reinforcement learning
  3. A Neuroevolution Approach to General Atari Game Playing
  4. Genetic Programming: On the Programming of Computers by Means of Natural Selection
  5. Gradient-based learning applied to document recognition
  6. Varying environments can speed up evolution (Proceedings of the National Academy of Sciences of the United States of America)
  7. Asynchronous Methods for Deep Reinforcement Learning
  8. ImageNet classification with deep convolutional neural networks
  9. Reinforcement Learning: An Introduction
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers