karpathy

""" 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

ihincks

# mimics the ctrl+shift+m behaviour in texmaker
atom.commands.add 'atom-text-editor',
  'custom:insert-inline-latex-eqn': ->
    return unless editor = atom.workspace.getActiveTextEditor()
    selection = editor.getLastSelection()
    selection.insertText("$#{selection.getText()}$")
    if not editor.getSelectedText()
        editor.moveLeft()

# puts selected text in a new align environment

zippy731

{
    "batch_name": "StableFun",
    "outdir": "/content/drive/MyDrive/AI/StableDiffusion/2022-08/StableFun/",
    "save_grid": false,
    "save_settings": true,
    "save_samples": true,
    "display_samples": true,
    "n_samples": 1,
    "W": 768,
    "H": 512,

altryne

20220826082208_settings.txt
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