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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 |
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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 ]; |