411 search results - page 25 / 83 » Learning to Fly: An Application of Hierarchical Reinforcemen... |
SIAMCO
2000
13 years 7 months ago
2000
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
CAEPIA
2011
Springer
12 years 7 months ago
2011
Springer
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Reminder systems support people with impaired prospective memory and/or executive function, by providing them with reminders of their functional daily activities. We integrate tem...
AI
2006
Springer
13 years 11 months ago
2006
Springer
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...