11 search results - page 2 / 3 » Suppressing intersample behavior in Iterative Learning Contr... |
CDC
2010
IEEE
13 years 9 days ago
2010
IEEE
Approximate policy iteration methods based on temporal differences are popular in practice, and have been tested extensively, dating to the early nineties, but the associated conve...
TON
2008
13 years 5 months ago
2008
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
ICML
1996
IEEE
14 years 6 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...
NIPS
1996
13 years 6 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...