Yvictor Yvictor
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 |
tyleransom
/ gcc-5.4.0-install.sh
Last active
August 12, 2024 13:11
— forked from jdhao/gcc-5.4.0-install.sh
The script will install GCC 5.4.0 on your CentOS 7 system, make sure you have root right.
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| echo "Downloading gcc source files..." | |
| curl https://ftp.gnu.org/gnu/gcc/gcc-5.4.0/gcc-5.4.0.tar.bz2 -O | |
| echo "extracting files..." | |
| tar xvfj gcc-5.4.0.tar.bz2 | |
| echo "Installing dependencies..." | |
| yum install gmp-devel mpfr-devel libmpc-devel | |
| echo "Configure and install..." |