L4DC 2027 – 9th Annual Learning for Dynamics & Control Conference
Annual academic conference at KTH Stockholm bridging machine learning, control theory, and optimization for data-driven dynamical systems and robotics.
The 9th Annual Learning for Dynamics & Control (L4DC) Conference addresses the explosion of real-time data arising from devices that sense and control the physical world. The conference fosters collaboration between machine learning, control theory, and optimization communities to build foundations for data-driven control of dynamical systems. Key topics include reinforcement learning for control, safe control under uncertainty, neural network-based system identification, and applications in robotics and autonomous systems.
Type
Conference
Status
Upcoming
Duration
3 days
Timezone
Europe/Stockholm
Format
In person
The 9th Annual Learning for Dynamics & Control (L4DC) Conference addresses the explosion of real-time data arising from devices that sense and control the physical world. The conference fosters collaboration between machine learning, control theory, and optimization communities to build foundations for data-driven control of dynamical systems. Key topics include reinforcement learning for control, safe control under uncertainty, neural network-based system identification, and applications in robotics and autonomous systems.