The thesis focuses on model-based approximation methods for reinforcement
learning with large scale applications such as combinatorial optimization problems.
First, the thesis proposes two new model-based methods to stablize the
value–function approximation for reinforcement learning. The first one is the
BFBP algorithm, a batch-like reinforcement learning process which iterates between...
This publication provides a framework, general recommendations, and rationales to aid potato growers interested in maximizing their land use and crop yield through drip irrigation. Discusses bed conformation, pumps and filters, system maintenance, microirrigation criteria, and chemigation.
Explica el uso de los sensores matriciales granulares para la medición de la tensión de humedad del suelo. Explica cómo instalar estos sensores y cómo usar los datos registrados para la programación del riego. (Discusses the use of granular matrix sensors (GMS) for monitoring soil moisture content . Explains how...
This publication discusses the use of granular matrix sensors (GMS) for monitoring soil moisture content. It explains how to install GMS and use the recorded data for irrigation scheduling.
Combined analyses of deep tow magnetic anomalies and International Ocean Discovery Program Expedition 349 cores show that initial seafloor spreading started around 33 Ma in the northeastern South China Sea (SCS), but varied slightly by 1-2 Myr along the northern continent-ocean boundary (COB). A southward ridge jump of ∼20 km...