874 search results - page 70 / 175 » Iterative Learning Control - Monotonicity and Optimization |
ICANNGA
2007
Springer
15 years 4 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...
CDC
2008
IEEE
15 years 4 months ago
2008
IEEE
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
ESSMAC
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
AAAI
2010
14 years 11 months ago
2010
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people ("workers") as an open call (e.g., on Amazon's Me...
CGF
2006
14 years 10 months ago
2006
In this paper we describe a new method for generating and controlling physically-realistic motion of complex articulated characters. Our goal is to create motion from scratch, whe...