{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fhowaihappens.com%2Fepisodes%2Fgoogle-deepmind-research-director-dr-martin-riedmiller-O9a8lXys","width":444,"version":"1.0","type":"rich","title":"Google DeepMind Research Director Dr. Martin Riedmiller","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/e9af7d3a-9b46-4861-8721-2429b421754e/43114c15-e286-4e1e-b1d9-25afefc01e5b/how-ai-happens-cover.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"","height":200,"description":"Martin is a former University Professor and renowned Research Scientist at Google DeepMind, whose work focuses on advancing the field of artificial intelligence through deep reinforcement learning. His work continues to push the boundaries of AI capabilities, making him a leading figure in the quest to build AI systems that can learn and adapt to complex environments. In our conversation, we discuss what reinforcement learning does differently in executing complex tasks, overcoming feedback loops in reinforcement learning, the pitfalls of typical agent-based learning methods, and how being a robotic soccer champion exposed the value of deep learning. We unpack the advantages of deep learning over modeling agent approaches, how finding a solution can inspire a solution in an unrelated field, and why he is currently focusing on data efficiency. Gain insights into the trade-offs between exploration and exploitation, how Google DeepMind is leveraging large language models for data efficiency, the potential risk of using large language models, and much more. Tune in now!"}