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

n0ts

#!/bin/bash

# You must accept the Oracle JDK License Update
# https://www.oracle.com/java/technologies/javase-downloads.html
# usage: get_oracle_jdk_x64.sh <jdk_version> <platform> <ext>
# jdk_version: 14
# platform: linux or osx or windows
# ext: rpm or dmg or tar.gz or exec

jdk_version=${1:-14}

syhw

"""
A deep neural network with or w/o dropout in one file.

License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""

import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams

sofoklis

package org.papasofokli

import scala.util.parsing.combinator.JavaTokenParsers

/**
 *  <b-expression>::= <b-term> [<orop> <b-term>]*
 *  <b-term>      ::= <not-factor> [AND <not-factor>]*
 *  <not-factor>  ::= [NOT] <b-factor>
 *  <b-factor>    ::= <b-literal> | <b-variable> | (<b-expression>)
 */