Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning

13 Dec 2018Kim P. WabersichMelanie N. Zeilinger

The transfer of reinforcement learning (RL) techniques into real-world applications is challenged by safety requirements in the presence of physical limitations. Most RL methods, in particular the most popular algorithms, do not support explicit consideration of state and input constraints... (read more)

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