SDS 551: Deep Reinforcement Learning — with Wah Loon Keng

In this episode, gifted author and software engineer Wah Loon Keng joins the podcast to dive deep into reinforcement learning. From its history to limitations, modern industrial applications, and future developments– there's no better expert to learn from if you want to know more about this complex topic. In this episode you will learn: • What is reinforcement learning? [4:50] • Deep reinforcement learning vs reinforcement learning [13:17] • A timeline of reinforcement learning breakthroughs [16:17] • The limitations of deep RL today [39:53] • Deep RL applications [53:10] • Keng's open-source SLM-Lab framework [57:51] • Keng’s responsibilities as an AI engineer [1:02:17] • What is the future of RL? [1:08:05] Additional materials: www.superdatascience.com/551

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.