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Rahul Gautham Putcha
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‎ProjectSetup_DO_THIS_FIRST.ipynb

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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"name": "ProjectSetup_DO_THIS_FIRST.ipynb",
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"provenance": [],
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"collapsed_sections": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# CS-673 Final Project \n",
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"## Improved Bot Learning process on Atari games by using Transfer Learning\n",
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"This file is for setting up the folder structure for Project - **Improved Bot Learning process on Atari games by using Transfer Learning**.\n",
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"\n",
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"## Contributors\n",
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"- Rahul Gautham Putcha\n",
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"- Ching-Hao Sun\n",
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"- Chia-Lin Hsieh"
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],
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"metadata": {
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"id": "eR7FiQoTkkhF"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"#### Working on the Colab Environment (Recommended for **Training**)\n",
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"Do this for the first time only"
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],
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"metadata": {
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"id": "YAFIHyvofHDs"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"from google.colab import drive\n",
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"drive.mount('/content/drive')\n"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "sqQjrNsudrSu",
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"outputId": "708ef727-1253-4c3b-980c-6b5ce4f92593"
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},
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"execution_count": 4,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Mounted at /content/drive\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"cd \"My Drive\""
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "TsV-v_fueJNn",
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"outputId": "710220b8-ca72-439d-944f-12d5e2a4edef"
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},
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"execution_count": 8,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"/content/drive/My Drive\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"from os import mkdir\n",
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"import os.path\n",
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"if not os.path.isfile(\"CS677DeepLearning\"):\n",
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" os.mkdir(\"CS677DeepLearning\")"
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],
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"metadata": {
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"id": "6y6l7zeAeWnH"
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},
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"execution_count": 13,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"cd \"CS677DeepLearning\""
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "p3s68cUneaga",
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"outputId": "45582051-b7c6-4ef1-f876-51cc892c7534"
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},
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"execution_count": 14,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"/content/drive/My Drive/CS677DeepLearning\n"
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]
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Setting up the Repo: Folder Structure\n",
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"Do this for the first time only"
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],
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"metadata": {
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"id": "Oo-LjwPTjWEC"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"!git init"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "diLLU4uPfCHD",
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"outputId": "387c99ed-90cf-42f4-dbd7-be56ea4926d8"
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},
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"execution_count": 17,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Initialized empty Git repository in /content/drive/My Drive/CS677DeepLearning/.git/\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"!git clone https://github.com/RPG-coder/atari-transfer-learning"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "4NPRs__kfWKY",
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"outputId": "a20afc71-eb1c-4492-8f95-2467019cf6bb"
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},
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"execution_count": 19,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Cloning into 'atari-transfer-learning'...\n",
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"remote: Enumerating objects: 15, done.\u001b[K\n",
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"remote: Counting objects: 100% (15/15), done.\u001b[K\n",
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"remote: Compressing objects: 100% (15/15), done.\u001b[K\n",
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"remote: Total 15 (delta 2), reused 6 (delta 0), pack-reused 0\u001b[K\n",
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"Unpacking objects: 100% (15/15), done.\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"cd atari-transfer-learning/"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "I_fWdQYPjIL7",
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"outputId": "4f738533-5f16-4d75-e3ae-d1d24ddddb41"
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},
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"execution_count": 21,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"/content/drive/My Drive/CS677DeepLearning/atari-transfer-learning\n"
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]
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"Your project structure is now ready\n",
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"## Lets proceed to the next step.\n",
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"Now Open /content/drive/MyDrive/CS677DeepLearning/atari-transfer-learning/CS673-FinalProject.ipynb\n",
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"\n",
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"in side Google Colab or Jupyter."
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],
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"metadata": {
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"id": "hDfCo-lTj_A2"
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}
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},
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{
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"cell_type": "code",
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"source": [
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""
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],
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"metadata": {
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"id": "rZE7c9EWlUy6"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}

‎README.md

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# atari-transfer-learning
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Improved Bot Learning process on Atari games by using Transfer Learning. An Extension of Playing Atari with Reinforcement Learning. Part of CS677 NJIT Final Project.
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- Improved Bot Learning process on Atari games by using Transfer Learning.
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- An Extension of Playing Atari with Reinforcement Learning.
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- Part of CS677 NJIT Final Project.
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## Contributors
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- Rahul Gautham Putcha
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- Ching-Hao Sun
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- Chia-Lin Hsieh
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*Part of CS677 NJIT Final Project...*
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