1863 search results - page 47 / 373 » Multiagent learning using a variable learning rate |
NIPS
2007
14 years 11 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
ISCAS
2003
IEEE
15 years 3 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
In online, dynamic environments, the services requested by consumers may not be readily served by the providers. This requires the service consumers and providers to negotiate the...
HEURISTICS
2008
14 years 9 months ago
2008
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
NIPS
1997
14 years 11 months ago
1997
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...