Tao Bian

Computational Theory and Mathematics · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Bian trusts overall

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

  1. Dimitri P. Bertsekas
  2. Richard S. Sutton
  3. Frank L. Lewis
  4. Draguna L. Vrabie
  5. Andrew Barto
  6. John N. Tsitsiklis
  7. Martin L. Puterman
  8. Christopher J. C. H. Watkins
  9. Yu Jiang
  10. Vivek Shripad Borkar

Who trusts Tao Bian overall

  1. Ding Wang

Papers from Tao Bian's perspective

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

  1. Dynamic Programming and Markov Processes
  2. Reinforcement Learning: An Introduction
  3. Practical Issues in Temporal Difference Learning
  4. Learning from delayed rewards
  5. Parallel and distributed computation
  6. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
  7. Stable Function Approximation in Dynamic Programming
  8. Linear Least-Squares algorithms for temporal difference learning
  9. Learning to Act Using Real-Time Dynamic Programming
  10. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences

Their papers