Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
A global human walking model with real-time kinematic personification
The Visual Computer: International Journal of Computer Graphics - Special issue on computer animation 1989/90
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Artificial fishes: physics, locomotion, perception, behavior
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Multi-level direction of autonomous creatures for real-time virtual environments
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Automated learning of muscle-actuated locomotion through control abstraction
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Improv: a system for scripting interactive actors in virtual worlds
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Programming python
Understanding intelligence
Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Integrated learning for interactive synthetic characters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Algorithms for Inverse Reinforcement Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Apprenticeship learning via inverse reinforcement learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
Computer Animation and Virtual Worlds
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
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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.