October 2019
Intermediate to advanced
366 pages
12h 4m
English
Content preview from Reinforcement Learning Algorithms with Python
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Questions
- How would you rank DQN, A2C, and ES based on their sample efficiency?
- What would their rank be if they were rated on the training time and 100 CPUs were available?
- Would you start debugging an RL algorithm on CartPole or MontezumaRevenge?
- Why is it better to use multiple seeds when comparing multiple deep RL algorithms?
- Does the intrinsic reward help with the exploration of an environment?
- What's transfer learning?
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.