1340 search results - page 9 / 268 » Kalman Temporal Differences |
CORR
2010
Springer
13 years 6 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
ICML
2003
IEEE
14 years 19 days ago
2003
IEEE
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
AAAI
2007
13 years 9 months ago
2007
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
AVI
2006
13 years 8 months ago
2006
The capability of accessing, analyzing and possibly updating patients' medical records from anywhere through a mobile device in the hands of clinicians and nurses is consider...