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135
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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 7 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
ATAL
2008
Springer
15 years 5 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
156
Voted
CIKM
2008
Springer
15 years 5 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
116
Voted
CE
2007
116views more  CE 2007»
15 years 3 months ago
The design of instructional multimedia in e-Learning: A Media Richness Theory-based approach
The rapid development of computer and Internet technologies has made e-Learning become an important learning method. There has been a considerable increase in the needs for multim...
Pei-Chen Sun, Hsing Kenny Cheng
142
Voted
ECML
2003
Springer
15 years 8 months ago
Leveraging Lexical Semantics to Infer Context-Free Grammars
Context-free grammars cannot be identified in the limit from positive examples (Gold, 1967), yet natural language grammars are more powerful than context-free grammars and humans ...
Tim Oates, Tom Armstrong, Justin Harris, Mark Nejm...