258 search results - page 25 / 52 » Continuous Capacities on Continuous State Spaces |
NIPS
2003
13 years 10 months ago
2003
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
AIPS
1996
13 years 10 months ago
1996
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
ICRA
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
TIT
2010
13 years 3 months ago
2010
A general wireless networking problem is formulated whereby end-to-end user rates, routes, link capacities, transmitpower, frequency and power resources are jointly optimized acros...
AAAI
2008
13 years 11 months ago
2008
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...