1 citations · 1 across the 7 of their papers we have counts for
3 papers · 1 filter
Bridging RL and MPC for mixed-integer optimal control with application to Formula 1 race strategies
Joschua Wüthrich, Romir Damle, Giona Fieni +3
We propose a hybrid reinforcement learning (RL) and model predictive control (MPC) framework for mixed-integer optimal control, where discrete variables enter the cost and dynamics…
Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems
Jonas Ohnemus, Alexandre Didier, Ahmed Aboudonia +2
We consider safety-critical multi-agent systems with distributed control architectures and potentially varying network topologies. While learning-based distributed control enables…
Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation
Lars Bartels, Amon Lahr, Andrea Carron +1
Learning-based model predictive control (MPC) can enhance control performance by correcting for model inaccuracies, enabling more precise state trajectory predictions than traditio…