For an intro to Deep Reinforcement Learning or to hear about the latest research and applications in the field (which is responsible for the most cutting-edge "A.I."), today's episode with Wah Loon Keng is for you.
Keng:
• Co-authored the exceptional book "Foundations of Deep Reinforcement Learning" alongside Laura Graesser.
• Co-created SLM-Lab, an open-source deep reinforcement learning framework written with the Python PyTorch library.
• Is a Senior A.I. Engineer at AppLovin, a marketing solutions provider.
In this episode, Keng details:
• What reinforcement learning is.
• A timeline of major breakthroughs in the history of Reinforcement Learning, including when and how Deep RL evolved.
• Modern industrial applications of Deep RL across robotics, logistics, and climate change.
• Limitations of Deep RL and how future research may overcome these limitations.
• The industrial robotics and A.I. applications Deep RL could play a leading role in in the coming decades.
• What it means to be an A.I. engineer and the software tools he uses daily in that role.
The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com.