Skip to content

Instantly share code, notes, and snippets.

@simoninithomas

simoninithomas/Q* Learning with FrozenLake.ipynb

Last active May 9, 2023 06:15
Show Gist options
  • Save simoninithomas/baafe42d1a665fb297ca669aa2fa6f92 to your computer and use it in GitHub Desktop.
Save simoninithomas/baafe42d1a665fb297ca669aa2fa6f92 to your computer and use it in GitHub Desktop.
Download ZIP
Display the source blob
Display the rendered blob
Raw
Q* Learning with FrozenLake.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@rmihir96
Copy link

---> 30 qtable[state, action] = qtable[state, action] + learning_rate * (reward + gamma * np.max(qtable[new_state, :]) - qtable[state, action])
31
32

IndexError: arrays used as indices must be of integer (or boolean) type

Any idea why this is happening?

@anuyash49
Copy link

my code is exactly same but I am getting total 143 rewards in 10000(ten thousand) episode. very low accuracy

@simoninithomas
Copy link
Author

Hey there this code is obsolete check this instead: https://huggingface.co/learn/deep-rl-course/unit2/introduction

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment