Rhea Rodrigues missrhea

## pg-pong.py
""" 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

## main.yml
# The name of the workflow as it will appear in the Actions tab of the GitHub repository.
name: "Publish my Gatsby site to GitHub Pages."


# Specifies the "event" that automatically triggers the workflow file.
# Here, a push to the dev branch will trigger the jobs below to run.
on:
  push:
    branches:
      - dev

## gmm_clustering.ipynb

      
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                missrhea
                / gmm_clustering.ipynb
            
            
              Created
              February 3, 2020 03:29
            
              
                Clustering using Gaussian Mixture Model
              
          
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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
	# The name of the workflow as it will appear in the Actions tab of the GitHub repository.
	name: "Publish my Gatsby site to GitHub Pages."


	# Specifies the "event" that automatically triggers the workflow file.
	# Here, a push to the dev branch will trigger the jobs below to run.
	on:
	push:
	branches:
	- dev