search

awjuliani / DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
MIT License
2.23k stars 825 forks source link

A possible typo? #52

Open XBLDev opened 6 years ago

XBLDev commented 6 years ago

In https://github.com/awjuliani/DeepRL-Agents/blob/master/Vanilla-Policy.ipynb, there's a comment:

Get our reward for taking an action given a bandit.

That tutorial uses the CartPole-v0 environment right? I don't think there is a bandit in that problem :-)

araknadash commented 5 years ago

It should be CartPole-v1