 | 2011 |
| 10 |  | Michael Kaisers,
Karl Tuyls:
FAQ-Learning in Matrix Games: Demonstrating Convergence Near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes.
Interactive Decision Theory and Game Theory 2011 |
| 9 |  | Daan Bloembergen,
Michael Kaisers,
Karl Tuyls:
Empirical and theoretical support for lenient learning.
AAMAS 2011: 1105-1106 |
| 8 |  | Sjriek Alers,
Daan Bloembergen,
Daniel Hennes,
Steven de Jong,
Michael Kaisers,
Nyree Lemmens,
Karl Tuyls,
Gerhard Weiss:
Bee-inspired foraging in an embodied swarm.
AAMAS 2011: 1311-1312 |
| 7 |  | Michael Wunder,
Michael Kaisers,
John Robert Yaros,
Michael L. Littman:
Using iterated reasoning to predict opponent strategies.
AAMAS 2011: 593-600 |
| 2010 |
| 6 |  | Michael Kaisers,
Karl Tuyls:
Frequency adjusted multi-agent Q-learning.
AAMAS 2010: 309-316 |
| 5 |  | Michael Wunder,
Michael L. Littman,
Michael Kaisers,
John Robert Yaros:
A Cognitive Hierarchy Model Applied to the Lemonade Game.
Interactive Decision Theory and Game Theory 2010 |
| 2009 |
| 4 |  | Michael Kaisers,
Karl Tuyls,
Simon Parsons,
Frank Thuijsman:
An evolutionary model of multi-agent learning with a varying exploration rate.
AAMAS (2) 2009: 1255-1256 |
| 3 |  | Michael Kaisers,
Karl Tuyls:
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach.
ALA 2009: 49-59 |
| 2008 |
| 2 |  | Michael Kaisers,
Karl Tuyls,
Frank Thuijsman,
Simon Parsons:
Auction Analysis by Normal Form Game Approximation.
IAT 2008: 447-450 |
| 2007 |
| 1 |  | H. Jaap van den Herik,
Daniel Hennes,
Michael Kaisers,
Karl Tuyls,
Katja Verbeeck:
Multi-agent Learning Dynamics: A Survey.
CIA 2007: 36-56 |