Winfried Lötzsch

Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem

2017 · Gesellschaft für Informatik (GI)

Recent advances in deep reinforcement learning methods have attracted a lot of attention, because of their ability to use raw signals such as video streams as inputs, instead of pre-processed state variables. However, the most …