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» A General Theory of Additive State Space Abstractions
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AGI
2011
13 years 8 days ago
Three Hypotheses about the Geometry of Mind
What set of concepts and formalizations might one use to make a practically useful, theoretically rigorous theory of generally intelligent systems? We present a novel perspective m...
Ben Goertzel, Matthew Iklé
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 3 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
IROS
2009
IEEE
132views Robotics» more  IROS 2009»
14 years 3 months ago
Automatic selection of task spaces for imitation learning
Abstract— Previous work [1] shows that the movement representation in task spaces offers many advantages for learning object-related and goal-directed movement tasks through imit...
Manuel Mühlig, Michael Gienger, Jochen J. Ste...
IWANN
2009
Springer
14 years 1 months ago
Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks
We propose a general method for estimating the distance between a compact subspace K of the space L1 ([0, 1]s ) of Lebesgue measurable functions defined on the hypercube [0, 1]s ,...
José Luis Montaña, Cruz E. Borges
TEC
2008
127views more  TEC 2008»
13 years 8 months ago
Fingerprinting: Visualization and Automatic Analysis of Prisoner's Dilemma Strategies
Fingerprinting is a technique for generating a representation-independent functional signature for a game playing agent. Fingerprints can be used to compare agents across represent...
Daniel A. Ashlock, Eun-Youn Kim