874 search results - page 39 / 175 » Iterative Learning Control - Monotonicity and Optimization |
CORR
2007
Springer
14 years 9 months ago
2007
Springer
This paper considers the problem of how to allocate power among competing users sharing a frequency-selective interference channel. We model the interaction between these selfish ...
107
click to vote
ISAAC
2010
Springer
14 years 7 months ago
2010
Springer
Howard's policy iteration algorithm is one of the most widely used algorithms for finding optimal policies for controlling Markov Decision Processes (MDPs). When applied to we...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— We describe a simple and intuitive policy gradient method for improving parametrized quadrocopter multi-flips by combining iterative experiments with information from a first...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
GLOBECOM
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— This paper theoretically analyzes cross-layer optimized design of transmit power allocation in distributed interference-limited wireless networks with asynchronously ac...