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dylanthomas / pg-pong.py
Created October 21, 2016 11:03 — forked from karpathy/pg-pong.py
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" 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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dylanthomas / README.md
Created June 21, 2016 08:23 — forked from GilLevi/README.md
Age and Gender Classification using Convolutional Neural Networks