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# Sam greydanus

Last active Nov 24, 2018
Solves Pong with Policy Gradients in Tensorflow.
View rl_pong.py
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 '''Solves Pong with Policy Gradients in Tensorflow.''' # written October 2016 by Sam Greydanus # inspired by karpathy's gist.github.com/karpathy/a4166c7fe253700972fcbc77e4ea32c5 import numpy as np import gym import tensorflow as tf # hyperparameters n_obs = 80 * 80 # dimensionality of observations h = 200 # number of hidden layer neurons
Created Oct 14, 2016
Dynamic plotting for matplotlib
View dynamic_plotting.py
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 "Dynamic plotting in matplotlib. Copy and paste into a Jupyter notebook." # written October 2016 by Sam Greydanus %matplotlib notebook import matplotlib.pyplot as plt import numpy as np import time def plt_dynamic(x, y, ax, colors=['b']): for color in colors: ax.plot(x, y, color)
Last active Jan 29, 2019
Solution to the Cartpole problem using Policy Gradients in TensorFlow
View cartpole.py
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 '''Solution to the Cartpole problem using Policy Gradients in Tensorflow.''' # written October 2016 by Sam Greydanus # inspired by gist.github.com/karpathy/a4166c7fe253700972fcbc77e4ea32c5 import numpy as np import gym import tensorflow as tf # hyperparameters n_obs = 4 # dimensionality of observations h = 128 # hidden layer neurons
Last active Sep 23, 2018
Trains an MNIST classifier using Synthetic Gradients. See Google DeepMind paper @ arxiv.org/abs/1608.05343.