113 search results - page 1 / 23 » Model Approximation for HEXQ Hierarchical Reinforcement Lear... |
ECML
2004
Springer
14 years 12 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 ...
ICML
2002
IEEE
15 years 7 months ago
2002
IEEE
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
PKDD
2009
Springer
15 years 1 months ago
2009
Springer
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
ATAL
2010
Springer
14 years 7 months ago
2010
Springer
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
HIS
2004
14 years 7 months ago
2004
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...