Develops a learning-based MPC algorithm that uses confidence intervals on trajectories and terminal set constraints to guarantee safety throughout RL exploration and training.
Control of uncertain nonlinear systems using ellipsoidal reachability calculus
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Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning
Develops a learning-based MPC algorithm that uses confidence intervals on trajectories and terminal set constraints to guarantee safety throughout RL exploration and training.