D. J. Barraclough

Nature Neuroscience · 2004

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Whom D. J. Barraclough trusts overall

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

  1. Michael L. Littman
  2. Richard S. Sutton

Who trusts D. J. Barraclough overall

  1. Nathaniel D. Daw
  2. Alireza Soltani
  3. Xiao-Jing Wang
  4. Daeyeol Lee
  5. Wolfram Schultz
  6. Kenji Doya
  7. Paul Glimcher
  8. SW Kennerley
  9. Paul Cisek
  10. Richard A. Andersen

Papers from D. J. Barraclough's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  3. Equilibrium Points in N-Person Games.
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  6. Asynchronous Methods for Deep Reinforcement Learning
  7. Learning internal representations by error propagation
  8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  9. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  10. Residual Algorithms: Reinforcement Learning with Function Approximation

Their papers