Data-driven Invariance for Reference Governors

no code implementations • 12 Oct 2023 • Ali Kashani, Claus Danielson

This paper presents a novel approach to synthesizing positive invariant sets for unmodeled nonlinear systems using direct data-driven techniques.

Autonomous Driving Unity

Approximate Dynamic Programming For Linear Systems with State and Input Constraints

no code implementations • 26 Jun 2019 • Ankush Chakrabarty, Rien Quirynen, Claus Danielson, Weinan Gao

Enforcing state and input constraints during reinforcement learning (RL) in continuous state spaces is an open but crucial problem which remains a roadblock to using RL in safety-critical applications.

reinforcement-learning Reinforcement Learning (RL)