MFosset

## chatbot_memory_pdfs.ipynb

      
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                MFosset
                / chatbot_memory_pdfs.ipynb
            
            
              Created
              April 8, 2023 21:30
                — forked from virattt/chatbot_memory_pdfs.ipynb
            
          
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## 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

## nes.py
"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

## hide_single_cell.py
from IPython.display import HTML
from IPython.display import display

# Taken from https://stackoverflow.com/questions/31517194/how-to-hide-one-specific-cell-input-or-output-in-ipython-notebook
tag = HTML('''<script>
code_show=true;
function code_toggle() {
    if (code_show){
        $('div.cell.code_cell.rendered.selected div.input').hide();
    } else {
	""" 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
	"""
	A bare bones examples of optimizing a black-box function (f) using
	Natural Evolution Strategies (NES), where the parameter distribution is a
	gaussian of fixed standard deviation.
	"""

	import numpy as np
	np.random.seed(0)

	# the function we want to optimize
	from IPython.display import HTML
	from IPython.display import display

	# Taken from https://stackoverflow.com/questions/31517194/how-to-hide-one-specific-cell-input-or-output-in-ipython-notebook
	tag = HTML('''<script>
	code_show=true;
	function code_toggle() {
	if (code_show){
	$('div.cell.code_cell.rendered.selected div.input').hide();
	} else {