However, to the best of our knowledge no previous work hassucceeded at using deep neural networks in structured (parameterized)continuous action spaces. To fill this gap, this paper focuses onlearning ...
The initial layer of the proposed architecture features CV parameterized learnable filters (PLFs) that directly work on the raw data and generate frequency-related features based on the structured ...
Abstract: To improve the tracking performance of Autonomous Underwater Vehicles (AUV), a sliding optimal tracking control method for linear continuous systems is proposed with Adaptive Dynamic ...
Techniques to boost your efficiency for implementation, writing BDD steps definitions and glue code If you are a tester, you have probably heard about Behaviour-Driven Development, or BDD in short, ...