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ATAL
2006
Springer
13 years 9 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
ECAI
2010
Springer
13 years 6 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
ICMLA
2010
13 years 2 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
KCAP
2005
ACM
13 years 11 months ago
Knowledge transfer via advice taking
We present a framework for knowledge transfer from one reinforcement learning task to a related task through advicetaking mechanisms. We discuss the importance of transfer in comp...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
JASIS
2007
132views more  JASIS 2007»
13 years 5 months ago
Automatic multidocument summarization of research abstracts: Design and user evaluation
sets of research abstracts that may be retrieved by a digital library or search engine in response to a user query. y dissertation abstracts were selected as the sample domain in t...
Shiyan Ou, Christopher S. G. Khoo, Dion Hoe-Lian G...