Temporal Difference Learning for Heuristic Search and Game Playing

By D. Beal, Martin C. Smith. 2000

27 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Reinforcement Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Sergey Levine
2. Pieter Abbeel
3. Yuxi Li
4. Yoshua Bengio
5. Timothy P. Lillicrap
6. David Silver
7. Chelsea Finn
8. Ruslan Salakhutdinov

In Economics and Econometrics

1. Arthur Guez
2. Timothy P. Lillicrap
3. David Silver
4. Marc Lanctot
5. Thore Graepel
6. Demis Hassabis
7. Thomas Hubert
8. Laurent Sifre

In Reinforcement Learning

1. Sergey Levine
2. Pieter Abbeel
3. Timothy P. Lillicrap
4. Yuxi Li
5. David Silver
6. Jimmy Ba
7. Shimon Whiteson
8. R´emi Munos

Citations in the corpus

• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017, background): “Beal and Smith applied temporal-difference learning to estimate the piece values in chess (7) and shogi (8), starting from random values and learning solely by self-play.”