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

Fast Talk, ep. 49: Training, fueling, and suffering at Dirty Kanza 200