Introduction to OpenAI Gym and Frozen Lake Environment in Python- Reinforcement Learning Tutorial

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In this video, we provide a brief introduction and tutorial on the OpenAI Gym Python library. This video is a part of reinforcement learning tutorials that I am currently creating. We first explain how to install OpenAI Gym by using Anaconda Python environment. Then, we introduce the Frozen Lake OpenAI Gym environment. Then, we explain how to generate random actions and how to render them. We explain how to obtain information about transition probabilities. Finally, we explain how to simulate random episodes in OpenAI Gym.
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It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
- You Can also press the Thanks YouTube Dollar button

aleksandarhaber
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Your channel deserves waaay more attention!!
YOU ARE AWESOME
Good Luck!

momolight
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That's a really good explaination, and good english and audio quality

SergioPolimante
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Amazing explanation. Best introduction to Gym.

RahulSiyanwal
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Thank you, your video revived & boosted me to persue my dream of learning DRL into strong determination.... God bless you 🥲🥲🥲🙏🙏🙏🙌🙌🙌🙌

pyalgoGPT
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thank you so much for your through explanation !

ziki
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Here are the other OpenAI Gym tutorials:

aleksandarhaber
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Don't forget to update the Gym to 0.26.0 or to the latest version, or the code will not work!

aleksandarhaber
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plz correct me if iam wrong. I think in this code the agent didn't learn anything its just rolling around with random actions.

designers_rockwall
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Can the gym version still be used because the gym has switched to a gymnasium?

DosisHumor
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I really loved your tutorial! Is it possible if you can share the source code?

NoahRyu
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TypeError: __init__() got an unexpected keyword argument 'render_mode'

nightgazerx