no code implementations • 4 Apr 2022 • S M Nahid Mahmud, Moad Abudia, Scott A Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
Safe model-based reinforcement learning techniques based on a barrier transformation have recently been developed to address this problem.
Model-based Reinforcement Learning reinforcement-learning +1
no code implementations • 1 Oct 2021 • S M Nahid Mahmud, Moad Abudia, Scott A Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
The ability to learn and execute optimal control policies safely is critical to realization of complex autonomy, especially where task restarts are not available and/or the systems are safety-critical.
Model-based Reinforcement Learning reinforcement-learning +1
no code implementations • 24 Jul 2020 • S M Nahid Mahmud, Scott A Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
In recent years, reinforcement learning approaches that rely on persistent excitation have been combined with a barrier transformation to learn the optimal control policies under state constraints.
Model-based Reinforcement Learning reinforcement-learning +2