Vojta Molda vojtamolda
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| // clang -O3 -march=native deleteme.c -o del_c | |
| #include <stdio.h> | |
| #include <time.h> | |
| int main () { | |
| clock_t start, end; | |
| double cpu_time_used; | |
| int n[ 3000 ]; |
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 |