41 search results - page 8 / 9 » A Nonlinear Adaptive Predictive Control Algorithm Based on O... |
IWCLS
2007
Springer
14 years 1 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
SIGMOD
2012
ACM
11 years 9 months ago
2012
ACM
As cloud computing environments become explosively popular, dealing with unpredictable changes, uncertainties, and disturbances in both systems and environments turns out to be on...
NIPS
1996
13 years 8 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...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
AGENTS
1997
Springer
13 years 11 months ago
1997
Springer
We have been developing Rogue, an architecture that integrates high-level planning with a low-level executing robotic agent. Rogue is designed as the oce gofer task planner for X...