Talk Announcement – “Reinforcement Learning – a Rewards Based Approach to Machine Learning” by Marko Lohert

Join us for an enlightening talk by Marko Lohert, a senior software developer with over 15 years of professional experience.

Reinforcement learning (RL) is a branch of machine learning that achieves excellent results when applied to very complex problems. This approach to artificial intelligence is based on learning through the mechanism of rewards and punishments. Join Marko Lohert as he compares various algorithms used in reinforcement learning, such as Q-learning, Deep Q-networks, and others, and explores when each should be used. Discover how reinforcement learning is applied in robotics, healthcare, resource management, gaming, and more. Learn from real-world examples, including AlphaGo, the first application to defeat the world champion in Go, a game previously considered out of reach for artificial intelligence.

Don’t miss out on these insightful sessions with Marko Lohert!