Morgan Kan

2006–2009

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Morgan Kan trusts overall

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

1. Andrew Gilpin
2. Sham M. Kakade

Papers from Morgan Kan's perspective

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

1. Approximating game-theoretic optimal strategies for full-scale poker
2. A Competitive Texas Hold'em Poker Player via Automated Abstraction and Real-Time Equilibrium Computation
3. On the sample complexity of reinforcement learning.
4. Gradient-Based Algorithms for Finding Nash Equilibria in Extensive Form Games
5. Regret Minimization in Games with Incomplete Information
6. The challenge of poker
7. Γ and B
8. A Course in Game Theory
9. Adaptive game playing using multiplicative weights
10. Temporal Difference Learning and TD-Gammon

Their papers

• A Practical Use of Imperfect Recall (2009) — 80 citations
• Optimal Unbiased Estimators for Evaluating Agent Performance (2006) — 41 citations