551: Deep Reinforcement Learning — with Wah Loon Keng
Super Data Science: ML & AI Podcast with Jon Krohn
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Advancements in Reinforcement Learning
This chapter delves into the history and recent developments in reinforcement learning, from early breakthroughs to the utilization of neural networks in deep reinforcement learning. It explores specific applications like protein folding and solving complex tasks such as Rubik's Cube using robotic hands. The discussion also covers challenges faced in training algorithms in real-world scenarios and the limitations and complexities in deep reinforcement learning models.
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Transcript
