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IJCAI
2007
15 years 1 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
ATAL
2007
Springer
15 years 6 months ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
SELMAS
2004
Springer
15 years 5 months ago
Aspectizing Multi-agent Systems: From Architecture to Implementation
Agent architectures have to cope with a number of internal properties (concerns), such as autonomy, learning, and mobility. As the agent complexity increases, these agent propertie...
Alessandro F. Garcia, Uirá Kulesza, Carlos ...
AAAI
2012
13 years 2 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
CONIELECOMP
2006
IEEE
15 years 5 months ago
Integrating Advanced GLSL Shading and XML Agents into a Learning-Oriented 3D Engine
Most of the existing 3D engines are overwhelmingly complex and do not integrate support for virtual characters. We have developed a teaching oriented 3D engine with support for su...
Edgar Velázquez-Armendáriz, Erik Mil...