- Deep Reinforcement Learning Hands-On
- Maxim Lapan
- 91字
- 2021-06-25 20:46:52
Summary
My congratulations! You have started to learn the practical side of RL! In this chapter, we installed OpenAI Gym with tons of environments to play with, studied its basic API and created a randomly behaving agent. You also learned how to extend the functionality of existing environments in a modular way and got familiar with a way to record our agent's activity using the Monitor
wrapper.
In the next chapter, we will do a quick DL recap using PyTorch, which is a favorite library among DL researchers. Stay tuned.
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