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» Using Learning in a Control Agent
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ICPR
2006
IEEE
14 years 9 months ago
Control Double Inverted Pendulum by Reinforcement Learning with Double CMAC Network
To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
Siwei Luo, Yu Zheng, Ziang Lv
ATAL
2009
Springer
14 years 2 months ago
Evolutionary testing of autonomous software agents
A system built in terms of autonomous agents may require even greater correctness assurance than one which is merely reacting to the immediate control of its users. Agents make su...
Cu D. Nguyen, Anna Perini, Paolo Tonella, Simon Mi...
MMAS
2004
Springer
14 years 1 months ago
Virtual Space Ontologies for Scripting Agents
Interactive multi-agent system improves reusability of agents by separating application design from agent design. However, it remains difficult for application designers (usually n...
Zhiqiang Gao, Liqun Ren, Yuzhong Qu, Toru Ishida
CIA
2006
Springer
13 years 12 months ago
Risk-Bounded Formation of Fuzzy Coalitions Among Service Agents
Cooperative autonomous agents form coalitions in order to share and combine resources and services to efficiently respond to market demands. With the variety of resources and servi...
Bastian Blankenburg, Minghua He, Matthias Klusch, ...
ATAL
2006
Springer
13 years 12 months ago
Learning against multiple opponents
We address the problem of learning in repeated N-player (as opposed to 2-player) general-sum games. We describe an extension to existing criteria focusing explicitly on such setti...
Thuc Vu, Rob Powers, Yoav Shoham