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» Integrating Reasoning about Actions and Bayesian Networks
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ICANN
2010
Springer
13 years 8 months ago
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
ABIALS
2008
Springer
14 years 2 months ago
Anticipative Control of Voluntary Action: Towards a Computational Model
Abstract. Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from ex...
Pascal Haazebroek, Bernhard Hommel
ISBI
2008
IEEE
14 years 2 months ago
Multimodal medical case retrieval using Bayesian networks and the Dezert-Smarandache theory
In this paper, we present a Case Based Reasoning (CBR) system for the retrieval of medical cases made up of a series of images with semantic information (such as the patient age, ...
Gwénolé Quellec, Mathieu Lamard, Lyn...
ATAL
2003
Springer
14 years 1 months ago
Coordination in multiagent reinforcement learning: a Bayesian approach
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
Georgios Chalkiadakis, Craig Boutilier
ICML
2009
IEEE
14 years 8 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji