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2000 – 2009
- 2008
[p1]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
- [j1]Sam Maes, Stijn Meganck, Bernard Manderick:
Inference in multi-agent causal models. Int. J. Approx. Reason. 46(2): 274-299 (2007) - 2006
- [c12]Sam Maes, Philippe Leray:
Multi-Agent Causal Models for Dependability Analysis. ARES 2006: 794-798 - [c11]Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick:
Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models 2006: 195-206 - 2005
- [c10]Sam Maes, Stijn Meganck, Bernard Manderick:
Identification of Causal Effects in Multi-Agent Causal Models. Artificial Intelligence and Applications 2005: 178-182 - [c9]Sam Maes, Stijn Meganck, Bernard Manderick:
Causal Inference in Multi-Agent Causal Models. BNAIC 2005: 367-368 - [c8]Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray:
A Learning Algorithm for Multi-Agent Causal Models. EUMAS 2005: 190-201 - [c7]Bernard Manderick, Sam Maes, Stijn Meganck:
Causal Inference in Multi-Agent Causal Models. EGC (Ateliers) 2005: 73-76 - [c6]Sam Maes, Stijn Meganck, Bernard Manderick:
Identification in Chain Multi-Agent Causal Models. FLAIRS 2005: 791-792 - [c5]Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray:
Distributed learning of Multi-Agent Causal Models. IAT 2005: 285-288 - 2003
- [c4]Karl Tuyls, Katja Verbeeck, Sam Maes:
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. CEEMAS 2003: 335-344 - [c3]Sam Maes, Joke Reumers, Bernard Manderick:
Identifiability of Causal Effects in a Multi-Agent Causal Model. IAT 2003: 605-608 - 2002
- [c2]Karl Tuyls, Sam Maes, Bernard Manderick:
Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. ICMLA 2002: 226-232 - [c1]Karl Tuyls, Sam Maes, Bernard Manderick:
Reinforcement Learning in Large State Spaces. RoboCup 2002: 319-326
Coauthor Index
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