124 search results - page 3 / 25 » Basis function construction for hierarchical reinforcement l... |
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
GECCO
2003
Springer
13 years 11 months ago
2003
Springer
AUSAI
2005
Springer
13 years 11 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
ECML
2004
Springer
13 years 11 months ago
2004
Springer
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...