233 search results - page 2 / 47 » Learning Complexity Dimensions for a Continuous-Time Control... |
ICRA
1998
IEEE
13 years 9 months ago
1998
IEEE
This paper discusses how a robot can develop its state vector according to the complexity of the interactions with its environment. A method for controlling the complexity is prop...
DAC
2000
ACM
14 years 5 months ago
2000
ACM
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
TEC
2002
13 years 4 months ago
2002
Abstract--The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. Even though t...
ICANNGA
2007
Springer
13 years 11 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...