We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
In recent years, increasing manufacturing density has allowed the development of Multi-Processor Systems-on-Chip (MPSoCs). Application-Specific Instruction Set Processors (ASIPs)...
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
We present Delta Execution, a technique that speeds up state-space exploration of object-oriented programs. Statespace exploration is the essence of model checking and an increasin...
Marcelo d'Amorim, Steven Lauterburg, Darko Marinov
Semantic concept detectors are often individually and independently developed. Using peripherally related concepts for leveraging the power of joint detection, which is referred t...