M. L. Conroy

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 M. L. Conroy trusts overall

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

  1. Michael L. Littman

Who trusts M. L. Conroy overall

  1. Nathaniel D. Daw
  2. Xiao-Jing Wang
  3. Alireza Soltani
  4. Daeyeol Lee
  5. Wolfram Schultz

Papers from M. L. Conroy's perspective

Ordered by how strongly the researchers M. L. Conroy 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. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Learning internal representations by error propagation
  7. Residual Algorithms: Reinforcement Learning with Function Approximation
  8. Stable Function Approximation in Dynamic Programming
  9. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  10. Learning in embedded systems

Their papers