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» Feudal Reinforcement Learning
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IWCLS
2007
Springer
14 years 2 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
HICSS
2005
IEEE
144views Biometrics» more  HICSS 2005»
14 years 1 months ago
Learning with Weblogs: An Empirical Investigation
The study investigates the impact of weblog use on individual learning in a university environment. Weblogs are a relatively new knowledge sharing technology, which enables people...
Helen S. Du, Christian Wagner
IJCAI
2007
13 years 9 months ago
General Game Learning Using Knowledge Transfer
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
Bikramjit Banerjee, Peter Stone
AIIDE
2006
13 years 9 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
IJRR
2011
159views more  IJRR 2011»
13 years 3 months ago
Learning visual representations for perception-action systems
We discuss vision as a sensory modality for systems that effect actions in response to perceptions. While the internal representations informed by vision may be arbitrarily compl...
Justus H. Piater, Sébastien Jodogne, Renaud...