Dear Colleagues,
We are organizing an open invited track on Recent Advances in Automated Learning and Calibration of MPC Policies at the upcoming IFAC World Congress.
We expect that this Open Invited Track will serve as a forum to encourage and discuss new developments at the boundary between model predictive control, reinforcement learning and data-driven optimization.
The topics of this Open Invited Track include but are not limited to:
- MPC tuning using Bayesian optimization
- reinforcement learning and MPC
- Approximation of complex MPC laws using machine learning
- adapting / tuning learned policies.
We welcome novel theoretical contributions, practical implementations and tools, as well as challenging case studies.
Read full description here.
Kind regards,
Dinesh Krishnamoorthy & Ali Mesbah
