Exploiting with Teja Kummarikuntla

Miguel Morales: On How Reinforcement Learning Aligned With Human Learnings

Guest Introduction:

Miguel is the staff software engineer at Lockheed Martin and works on Reinforcement learning, Missiles, Fire control, and Autonomous Systems in Denver. He is a part-time Instructional Associate at Georgia Institute of Technology for the course in Reinforcement Learning and Decision Making. He developed the Actor-critic lectures for Udacity Deep Reinforcement learning Nanodegree. Miguel holds a Master’s degree in computer science specializing in interactive intelligence. On top of all of that, he’s the author of the incredible book “Grokking Deep Reinforcement Learning’. If you are the one looking to adopt self-learning and Reinforcement learning, this episode will definitely help you

Thank you so much for joining us Miguel.

Episode Highlights

You wanna write a blog post, the challenging part is to get your computer, right the first few words, once you beat that, that's it you're hooked, you're writing, you're writing horribly and then you're writing better and then you're writing awesome, right. So, it is very interesting because the challenge is not to write, the problem is like you go like, "Oh, but I need to go write this whole book", don't do that, don't write the whole book, just write three words.

Give Away

Get a chance to grab Miguel’s Book “Grokking Deep Reinforcement Learning” from Manning Publications by joining in the Giveaway. Join the giveaway at linktr.ee/tejakummarikuntla


Manning publications is offering a complete 40% off on applying “podexploit20” coupon code during the purchase of any Manning Books. Know more about giveaways at @exploit.chat

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