582 search results - page 46 / 117 » Reinforcement learning with Gaussian processes |
152
Voted
CSL
2010
Springer
15 years 3 months ago
2010
Springer
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
148
Voted
CEEMAS
2003
Springer
15 years 9 months ago
2003
Springer
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the di�...
132
Voted
ECAI
2008
Springer
15 years 5 months ago
2008
Springer
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
144
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
144
Voted
ATAL
2010
Springer
15 years 4 months ago
2010
Springer
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...