Inkyung Ahn

Public Health, Environmental and Occupational Health · 2003–2020

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Inkyung Ahn trusts overall

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

  1. Mingxin Wang
  2. Richard S. Sutton
  3. Vijay R. Konda
  4. Ronald J. Williams
  5. Lisette G. de Pillis
  6. Jan Peters
  7. Shun-ichi Amari

Who trusts Inkyung Ahn overall

  1. Chao Yu

Papers from Inkyung Ahn's perspective

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

  1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  2. Reinforcement Learning: An Introduction
  3. Natural Gradient Works Efficiently in Learning
  4. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  5. Learning internal representations by error propagation
  6. Residual Algorithms: Reinforcement Learning with Function Approximation
  7. Actor-Critic Algorithms
  8. Linear Least-Squares algorithms for temporal difference learning
  9. Support-Vector Networks
  10. Neural Networks for Pattern Recognition

Their papers