A practically implementable reinforcement learning control approach by leveraging offset-free model predictive control
This work addresses the problem of designing an offset-free implementable reinforcement
learning (RL) controller for nonlinear processes. RL-based controllers can update the …
learning (RL) controller for nonlinear processes. RL-based controllers can update the …