Webinar recording: “Deep Reinforcement Learning – A Modern Approach to Adaptive Optimal Control”

The webinar “Deep Reinforcement Learning – A Modern Approach to Adaptive Optimal Control” targets researchers, practitioners, students, entrepreneurs, and decision-makers interested in the latest advancements in deep reinforcement learning (DRL) for adaptive optimal control. The webinar explores how DRL applies deep learning to sequential decision-making and control, particularly in scenarios requiring adaptation due to unknown or changing conditions. It aims to highlight the intrinsic connections between DRL and adaptive optimal control, addressing both the theoretical underpinnings and practical applications. The webinar is led by Prof. Dr. Milan R. Rapaić, an expert in decision and control theory, who will share his extensive experience and insights into the field.