Sciweavers

495 search results - page 11 / 99
» Constructing States for Reinforcement Learning
Sort
View
140
Voted
PRICAI
2000
Springer
15 years 5 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
NECO
2007
87views more  NECO 2007»
15 years 1 months ago
Reinforcement Learning State Estimator
cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...
Jun Morimoto, Kenji Doya
NIPS
1993
15 years 3 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore
ESANN
2008
15 years 3 months ago
Model-Based Reinforcement Learning with Continuous States and Actions
Marc Peter Deisenroth, Carl Edward Rasmussen, Jan ...