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» Using Learning in a Control Agent
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NIPS
2004
13 years 9 months ago
New Criteria and a New Algorithm for Learning in Multi-Agent Systems
We propose a new set of criteria for learning algorithms in multi-agent systems, one that is more stringent and (we argue) better justified than previous proposed criteria. Our cr...
Rob Powers, Yoav Shoham
AAAI
2006
13 years 9 months ago
Cross-Domain Knowledge Transfer Using Structured Representations
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
Samarth Swarup, Sylvian R. Ray
HICSS
1999
IEEE
155views Biometrics» more  HICSS 1999»
14 years 9 days ago
Agent Communication Languages for Information-Centric Agent Communities
As the complexity and application scope of agent-based systems increases, the requirements placed on Agent Communication Languages have also increased with it. Currently-available...
Marian H. Nodine, Damith Chandrasekara
ICML
2006
IEEE
14 years 8 months ago
An intrinsic reward mechanism for efficient exploration
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Özgür Simsek, Andrew G. Barto
NOMS
2002
IEEE
112views Communications» more  NOMS 2002»
14 years 27 days ago
Paradigms for mobile agent based active monitoring of network systems
We present here a framework together with a set of paradigms for mobile agent based active monitoring of network systems. In our framework mobile agents are used to perform remote...
Anand Tripathi, Tanvir Ahmed, Sumedh Pathak, Megan...