Uncovering Instabilities In Variational-Quantum Deep Q-Networks


By Maja Franz (1), Lucas Wolf (1), Maniraman Periyasamy (2), Christian Ufrecht (2), Daniel D. Scherer (2), Axel Plinge (2), Christopher Mutschler (2), Wolfgang Mauerer (1,3) (1) Technical University of Applied Sciences, Regensburg, Germany, (2) Fraunhofer-IIS, Fraunhofer Institute for Integrated Circuits IIS, Division Positioning and Networks, Nuremberg, Germany, (3) Siemens AG, Corporate ... » read more

Solving Memory Mapping Issues with Deep RL (Google)


A technical paper titled "Optimizing Memory Mapping Using Deep Reinforcement Learning" was published by Google DeepMind and Google. Abstract: "Resource scheduling and allocation is a critical component of many high impact systems ranging from congestion control to cloud computing. Finding more optimal solutions to these problems often has significant impact on resource and time savings, red... » read more