Martin C. Smith

with Beal · 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 Martin C. Smith trusts

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

  1. G. Tesauro (in Reinforcement Learning)

Who trusts Martin C. Smith

  1. Tomoyuki Kaneko (in Artificial Intelligence)
  2. Kunihito Hoki (in Reinforcement Learning)

Papers from Martin C. Smith's perspective

Ordered by how strongly the researchers Martin C. Smith 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. Meta-Learning in Neural Networks: A Survey
  9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  10. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning

Their papers