874 search results - page 9 / 175 » Iterative Learning Control - Monotonicity and Optimization |
ECML
2006
Springer
13 years 10 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
AUTOMATICA
2008
13 years 7 months ago
2008
Data-based control design methods most often consist of iterative adjustment of the controller's parameters towards the parameter values which minimize an H2 performance crit...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we apply the primal-dual decomposition and subgradient projection methods to solve the rate-distortion optimization problem with the constant bit rate constraint. T...
TIP
2008
13 years 7 months ago
2008
In this paper, we apply the primal-dual decomposition and subgradient projection methods to solve the rate-distortion optimization problem with the constant bit rate constraint. Th...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...