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» A General Theory of Additive State Space Abstractions
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AGI
2011
14 years 9 months 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»
15 years 20 days 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»
16 years 12 days 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
15 years 10 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»
15 years 5 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