| 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. Reasoning 46(2): 274-299 (2007) | |
| 2006 | ||
| c11 | ||
| c10 | Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick: Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models 2006: 195-206 | |
| 2005 | ||
| c9 | Sam Maes, Stijn Meganck, Bernard Manderick: Identification of Causal Effects in Multi-Agent Causal Models. Artificial Intelligence and Applications 2005: 178-182 | |
| c8 | Sam Maes, Stijn Meganck, Bernard Manderick: Causal Inference in Multi-Agent Causal Models. BNAIC 2005: 367-368 | |
| c7 | Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: A Learning Algorithm for Multi-Agent Causal Models. EUMAS 2005: 190-201 | |
| c6 | Sam Maes, Stijn Meganck, Bernard Manderick: Identification in Chain Multi-Agent Causal Models. FLAIRS Conference 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 | |
| 1 | Philippe Leray | |
| 2 | Bernard Manderick | |
| 3 | Stijn Meganck | |
| 4 | Joke Reumers | |
| 5 | Karl Tuyls | |
| 6 | Katja Verbeeck |
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