Lasse Becker-Czarnetzki

2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Lasse Becker-Czarnetzki trusts overall

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

  1. Neil Burch
  2. Noam Brown
  3. Michael Bradley Johanson
  4. Tuomas Sandholm
  5. Matej Moravcík
  6. Michael H. Bowling
  7. Sergiu Hart
  8. Todd W. Neller
  9. Martin A. Zinkevich
  10. Martin Schmid

Papers from Lasse Becker-Czarnetzki's perspective

Ordered by how strongly the researchers Lasse Becker-Czarnetzki trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regret Minimization in Games with Incomplete Information
  2. A simple adaptive procedure leading to correlated equilibrium
  3. Solving Imperfect Information Games Using Decomposition
  4. Temporal Difference Learning and TD-Gammon
  5. Measuring the Size of Large No-Limit Poker Games
  6. A Course in Game Theory
  7. Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
  8. An Introduction to Counterfactual Regret Minimization
  9. ImageNet classification with deep convolutional neural networks
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers