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AROBOTS
2008
83views more  AROBOTS 2008»
15 years 2 months ago
Geodesic Gaussian kernels for value function approximation
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
120
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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 9 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
NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 4 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
124
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AAAI
2006
15 years 4 months ago
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Yaxin Liu, Peter Stone
88
Voted
JMLR
2008
69views more  JMLR 2008»
15 years 2 months ago
Value Function Based Reinforcement Learning in Changing Markovian Environments
Balázs Csanád Csáji, Lá...