Kevin Waugh

Artificial Intelligence · 2009–2017

A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #15,749 of 35,345 by trust here, #8,077 by citations
• Game & Decision Theory — 27 citations into it; #60 of 249 by trust here, #28 by citations
• Management Science and Operations Research — 15 citations into it; #1,941 of 11,946 by trust here, #2,667 by citations
• Economics and Econometrics — 10 citations into it; #9,673 of 23,481 by trust here, #3,694 by citations
• Optimization & Training — 7 citations into it

Whom Kevin Waugh trusts overall

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

1. Martin A. Zinkevich
2. Andrew Gilpin
3. Michael Bradley Johanson
4. Bernhard von Stengel
5. Michael H. Bowling
6. Darse Billings
7. Tuomas Sandholm
8. Stéphane Ross
9. Neil Burch
10. Martin J. Osborne

Who trusts Kevin Waugh overall

1. Michael Bradley Johanson
2. Neil Burch
3. Noam Brown
4. Tuomas Sandholm
5. Johannes Heinrich
6. Marc Lanctot
7. Michael H. Bowling
8. Kaiqing Zhang
9. Jonathan Rubin
10. David Silver

Papers from Kevin Waugh's perspective

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

1. A Course in Game Theory
2. ImageNet classification with deep convolutional neural networks
3. Approximating game-theoretic optimal strategies for full-scale poker
4. Temporal Difference Learning and TD-Gammon
5. The challenge of poker
6. Regret Minimization in Games with Incomplete Information
7. Efficient Computation of Behavior Strategies
8. Logarithmic regret algorithms for online convex optimization
9. Gambling in a rigged casino: The adversarial multi-armed bandit problem
10. Gradient-Based Algorithms for Finding Nash Equilibria in Extensive Form Games

Their papers

• DeepStack: Expert-level artificial intelligence in heads-up no-limit poker (2017) — 1,018 citations
• Solving Games with Functional Regret Estimation (2014) — 62 citations
• Monte Carlo Sampling for Regret Minimization in Extensive Games (2009) — 353 citations
• DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker (2017) — 225 citations
• Accelerating Best Response Calculation in Large Extensive Games (2011)
• A Practical Use of Imperfect Recall (2009) — 80 citations
• Abstraction pathologies in extensive games (2009) — 90 citations