Sam Maes - RankMe

14 papers B 1C 3Misc 1Journal 1Unranked 7

Year	Rank	Type	Title / Venue / Authors
2008	—	`ch.`	Causal Graphical Models with Latent Variables: Learning and Inference. Innovations in Bayesian Networks Philippe Leray, Stijn Meganck, Sam Maes, Bernard Manderick
2007	J	`jnl`	Inference in multi-agent causal models. Int. J. Approx. Reason. Sam Maes, Stijn Meganck, Bernard Manderick
2006	—	`conf`	Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick
2006	B	`conf`	Multi-Agent Causal Models for Dependability Analysis. ARES Sam Maes, Philippe Leray
2005	C	`conf`	A Learning Algorithm for Multi-Agent Causal Models. EUMAS Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
2005	—	`conf`	Causal Inference in Multi-Agent Causal Models. BNAIC Sam Maes, Stijn Meganck, Bernard Manderick
2005	—	`conf`	Causal Inference in Multi-Agent Causal Models. EGC (Ateliers) Bernard Manderick, Sam Maes, Stijn Meganck
2005	—	`conf`	Distributed learning of Multi-Agent Causal Models. IAT Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
2005	Misc	`conf`	Identification in Chain Multi-Agent Causal Models. FLAIRS Sam Maes, Stijn Meganck, Bernard Manderick
2005	—	`conf`	Identification of Causal Effects in Multi-Agent Causal Models. Artificial Intelligence and Applications Sam Maes, Stijn Meganck, Bernard Manderick
2003	—	`conf`	Identifiability of Causal Effects in a Multi-Agent Causal Model. IAT Sam Maes, Joke Reumers, Bernard Manderick
2003	—	`conf`	On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. CEEMAS Karl Tuyls, Katja Verbeeck, Sam Maes
2002	C	`conf`	Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. ICMLA Karl Tuyls, Sam Maes, Bernard Manderick
2002	C	`conf`	Reinforcement Learning in Large State Spaces. RoboCup Karl Tuyls, Sam Maes, Bernard Manderick

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz