D. Beal

with Smith · 2000–2001

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom D. Beal trusts overall

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

  1. G. Tesauro

Who trusts D. Beal overall

  1. David Silver
  2. Kunihito Hoki
  3. Tomoyuki Kaneko

Papers from D. Beal's perspective

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

  1. Learning internal representations by error propagation
  2. Learning to predict by the methods of temporal differences
  3. Planning and Acting in Partially Observable Stochastic Domains
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Continual learning in reinforcement environments
  6. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  7. Temporal credit assignment in reinforcement learning
  8. Deep Learning
  9. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  10. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning

Their papers