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ATAL
2006
Springer

Learnable behavioural model for autonomous virtual agents: low-level learning

13 years 7 months ago
Learnable behavioural model for autonomous virtual agents: low-level learning
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the simulation of autonomous virtual agents. Our low-level learning technique has proved fast, simple and robust. It is also able to automatically learn behavioural models for difficult tasks. Thus, we believe it will be more useful to the computer graphics community than a technique based on the classical Q-learning approach. The results are illustrated in two case studies that require effective coordination of behaviours. Categories and Subject Descriptors I.2.6 [Artificial Intelligence]: Learning; I.3.6 [Computer Graphics]: Methodology and Techniques
Toni Conde, Daniel Thalmann
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where ATAL
Authors Toni Conde, Daniel Thalmann
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