Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. - Karl Tuyls; Sam Maes; Bernard Manderick (ICMLA, 2002)

Reinforcement Learning in Large State Spaces. - Karl Tuyls; Sam Maes; Bernard Manderick (RoboCup, 2002)

On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. - Karl Tuyls; Katja Verbeeck; Sam Maes (CEEMAS, 2003)

Identifiability of Causal Effects in a Multi-Agent Causal Model. - Sam Maes; Joke Reumers; Bernard Manderick (IAT, 2003)

Identification of Causal Effects in Multi-Agent Causal Models. - Sam Maes; Stijn Meganck; Bernard Manderick (Artificial Intelligence and Applications, 2005)

A Learning Algorithm for Multi-Agent Causal Models. - Stijn Meganck; Sam Maes; Bernard Manderick; Philippe Leray 001 (EUMAS, 2005)

Causal Inference in Multi-Agent Causal Models. - Bernard Manderick; Sam Maes; Stijn Meganck (EGC (Ateliers), 2005)

Identification in Chain Multi-Agent Causal Models. - Sam Maes; Stijn Meganck; Bernard Manderick (FLAIRS, 2005)

Distributed learning of Multi-Agent Causal Models. - Stijn Meganck; Sam Maes; Bernard Manderick; Philippe Leray 001 (IAT, 2005)

Multi-Agent Causal Models for Dependability Analysis. - Sam Maes; Philippe Leray 001 (ARES, 2006)

Learning Semi-Markovian Causal Models using Experiments. - Stijn Meganck; Sam Maes; Philippe Leray 001; Bernard Manderick (Probabilistic Graphical Models, 2006)

Inference in multi-agent causal models. - Sam Maes; Stijn Meganck; Bernard Manderick (Int. J. Approx. Reason., 2007)

Causal Graphical Models with Latent Variables: Learning and Inference. - Philippe Leray 001; Stijn Meganck; Sam Maes; Bernard Manderick (Innovations in Bayesian Networks, 2008)