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Gustavo Camargo gcamargo1
karpathy
/ pg-pong.py
Created
May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
PurpleBooth
/ README-Template.md
Last active
December 3, 2025 00:19
A template to make good README.md
rpmuller
/ Crash Course v0.5.ipynb.json
Last active
November 24, 2022 09:14
Crash Course in Python for Scientists
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