 | 2008 |
|---|
| 13 |       | Philippe Leray,
Stijn Meganck,
Sam Maes,
Bernard Manderick:
Causal Graphical Models with Latent Variables: Learning and Inference.
Innovations in Bayesian Networks 2008: 219-249 |
| 2007 |
|---|
| 12 | | Sam Maes,
Stijn Meganck,
Bernard Manderick:
Inference in multi-agent causal models.
Int. J. Approx. Reasoning 46(2): 274-299 (2007) |
| 2006 |
|---|
| 11 | | Sam Maes,
Philippe Leray:
Multi-Agent Causal Models for Dependability Analysis.
ARES 2006: 794-798 |
| 10 | | Stijn Meganck,
Sam Maes,
Philippe Leray,
Bernard Manderick:
Learning Semi-Markovian Causal Models using Experiments.
Probabilistic Graphical Models 2006: 195-206 |
| 2005 |
|---|
| 9 |  | Sam Maes,
Stijn Meganck,
Bernard Manderick:
Identification of Causal Effects in Multi-Agent Causal Models.
Artificial Intelligence and Applications 2005: 178-182 |
| 8 | | Sam Maes,
Stijn Meganck,
Bernard Manderick:
Causal Inference in Multi-Agent Causal Models.
BNAIC 2005: 367-368 |
| 7 | | Stijn Meganck,
Sam Maes,
Bernard Manderick,
Philippe Leray:
A Learning Algorithm for Multi-Agent Causal Models.
EUMAS 2005: 190-201 |
| 6 | | Sam Maes,
Stijn Meganck,
Bernard Manderick:
Identification in Chain Multi-Agent Causal Models.
FLAIRS Conference 2005: 791-792 |
| 5 | | Stijn Meganck,
Sam Maes,
Bernard Manderick,
Philippe Leray:
Distributed learning of Multi-Agent Causal Models.
IAT 2005: 285-288 |
| 2003 |
|---|
| 4 | | Karl Tuyls,
Katja Verbeeck,
Sam Maes:
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor.
CEEMAS 2003: 335-344 |
| 3 | | Sam Maes,
Joke Reumers,
Bernard Manderick:
Identifiability of Causal Effects in a Multi-Agent Causal Model.
IAT 2003: 605-608 |
| 2002 |
|---|
| 2 | | Karl Tuyls,
Sam Maes,
Bernard Manderick:
Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information.
ICMLA 2002: 226-232 |
| 1 | | Karl Tuyls,
Sam Maes,
Bernard Manderick:
Reinforcement Learning in Large State Spaces.
RoboCup 2002: 319-326 |
