2103 search results - page 181 / 421 » Approximate Learning of Dynamic Models |
140
click to vote
NIPS
2000
15 years 6 months ago
2000
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
147
click to vote
ICARCV
2008
IEEE
15 years 11 months ago
2008
IEEE
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
233
Voted
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
131
click to vote
MABS
1998
Springer
15 years 9 months ago
1998
Springer
This paper concerns agent based experiments in the field of negotiation and exchange simulation. A computer simulation environment is built, showing the emergence of chaotic price ...
120
click to vote
ICCV
1999
IEEE
16 years 7 months ago
1999
IEEE
The paper describes a scheme for detecting vehicles in images. The proposed method approximately models the unknown distribution of the images of vehicles by learning higher order...