Media Summary: This is the contribution of Simon Dobers, Julian Balletshofer, and Christian Nathaus for the 2022 Many current autonomous systems are being designed with a strong reliance on black box predictions from deep neural networks ... Autonomous systems have achieved superhuman performance in isolation or simulation, yet they remain brittle in shared, ...
Safe Reinforcement Learning Example - Detailed Analysis & Overview
This is the contribution of Simon Dobers, Julian Balletshofer, and Christian Nathaus for the 2022 Many current autonomous systems are being designed with a strong reliance on black box predictions from deep neural networks ... Autonomous systems have achieved superhuman performance in isolation or simulation, yet they remain brittle in shared, ... Speaker: Nolan Wagener, Graduate Student, Georgia Tech Many sequential decision problems involve finding a policy that ... PhD defense presentation for Daniel S. Brown's dissertation: " The video contains the third Poster Pitches session of SafeAI 2022 entitled "
With Bettina Könighofer and Rüdiger Ehlers Feedback form Request an episode Temporal Logic Guided Safe Reinforcement Learning Using ControlBarrier Functions This video is part of the Udacity course " Abstract: Dynamic tasks require robots to react and adapt quickly to environmental changes. Unfortunately, classic robotics ... Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions Journal paper here: Learning-based control schemes such as
Safe Exploration for Reinforcement Learning Using Unsupervised Action Planning
