Yu-Tsung Wang

Reinforcement Learning · 2000

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it; #834 of 2,242 by trust here, #1,663 by citations

Whom Yu-Tsung Wang trusts overall

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

1. Dimitri P. Bertsekas
2. John N. Tsitsiklis
3. G. Tesauro
4. Benjamin Van Roy

Who trusts Yu-Tsung Wang overall

1. Sridhar Mahadevan
2. Derong Liu
3. Bo Liu
4. Huaguang Zhang
5. Qinglai Wei
6. Xianchao Sui

Papers from Yu-Tsung Wang's perspective

Ordered by how strongly the researchers Yu-Tsung Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Dynamic Programming: Deterministic and Stochastic Models
2. Learning Through Reinforcement and Replicator Dynamics
3. An Analysis of Temporal-Difference Learning with Function Approximation
4. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
5. Neurogammon: a neural-network backgammon program
6. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
7. Stable Function Approximation in Dynamic Programming
8. Feature-based methods for large scale dynamic programming
9. Residual Algorithms: Reinforcement Learning with Function Approximation
10. Parallel and distributed computation

Their papers

• Online learning control by association and reinforcement (2000) — 659 citations