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» Learning Character Behaviors Using Agent Modeling in Games
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NEUROSCIENCE
2001
Springer
15 years 8 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
151
Voted
JIRS
2000
144views more  JIRS 2000»
15 years 3 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
114
Voted
AGENTS
2000
Springer
15 years 8 months ago
Expressive autonomous cinematography for interactive virtual environments
We have created an automatic cinematography system for interactive virtual environments. This system controls a virtual camera and lights in a three-dimensional virtual world inha...
Bill Tomlinson, Bruce Blumberg, Delphine Nain
AAAI
2008
15 years 6 months ago
Potential-based Shaping in Model-based Reinforcement Learning
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
John Asmuth, Michael L. Littman, Robert Zinkov
CHI
2005
ACM
16 years 4 months ago
Children's and adults' multimodal interaction with 2D conversational agents
Few systems combine both Embodied Conversational Agents (ECAs) and multimodal input. This research aims at modeling the behavior of adults and children during their multimodal int...
Jean-Claude Martin, Stéphanie Buisine