An-Pin Chen

Management Science and Operations Research · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom An-Pin Chen trusts overall

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

  1. L. Takeuchi
  2. John E. Moody

Who trusts An-Pin Chen overall

  1. A. Ozbayoglu
  2. Omer Berat Sezer
  3. M. Ugur Gudelek

Papers from An-Pin Chen's perspective

Ordered by how strongly the researchers An-Pin Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Simple statistical gradient-following algorithms for connectionist reinforcement learning
  2. Learning to trade via direct reinforcement (IEEE Trans. Neural Networks)
  3. Imaging Time-Series to Improve Classification and Imputation (International Joint Conference on Artificial Intelligence)
  4. Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
  5. Reinforcement learning for optimized trade execution
  6. Applying Deep Learning to Enhance Momentum Trading Strategies in Stocks
  7. Reinforcement Learning: An Introduction
  8. Learning internal representations by error propagation
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers