Luke Liem LUKELIEM
LUKELIEM
/ pg-pong.py
Created
August 30, 2017 10:10
— forked from karpathy/pg-pong.py
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 |
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| from __future__ import print_function | |
| import gym | |
| from gym import wrappers | |
| import logging | |
| import numpy as np | |
| try: | |
| import cPickle as pickle | |
| except ImportError: | |
| import pickle |