Andrew Tridgell

Reinforcement Learning · 1998–2000

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it; #1,819 of 2,242 by trust here, #1,932 by citations

Whom Andrew Tridgell trusts overall

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

1. G. Tesauro
2. Sebastian Thrun
3. Richard S. Sutton
4. Arthur L. Samuel
5. N. Schraudolph
6. Jordan B. Pollack
7. John N. Tsitsiklis
8. Peter S. Dayan
9. Andrew Barto

Who trusts Andrew Tridgell overall

1. David Silver
2. Matthew Lai
3. Richard S. Sutton
4. Sylvain Gelly
5. Kunihito Hoki
6. Joel Veness
7. Tomoyuki Kaneko

Papers from Andrew Tridgell's perspective

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

1. Reinforcement Learning: An Introduction
2. Learning to predict by the methods of temporal differences
3. Introduction to Reinforcement Learning
4. An Analysis of Temporal-Difference Learning with Function Approximation
5. Practical Issues in Temporal Difference Learning
6. Temporal Difference Learning of Position Evaluation in the Game of Go
7. Learning internal representations by error propagation
8. Human-level control through deep reinforcement learning
9. Learning to Play the Game of Chess
10. Coevolution of a Backgammon Player

Their papers

• Learning to Play Chess Using Temporal Differences (2000) — 136 citations
• TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search (1999)
• KnightCap: A chess program that learns by combining TD(lambda) with game-tree search (1999)
• Experiments in Parameter Learning Using Temporal Differences (1998)