FlappyBird_AI/index.html at master · SeanFitzpatrick0/FlappyBird_AI · GitHub

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<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="UTF-8" />
		<meta name="viewport" content="width=device-width, initial-scale=1.0" />

		<!-- P5js library-->
		<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.9.0/p5.min.js"></script>
		<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.9.0/addons/p5.dom.min.js"></script>

		<!-- Tensorflow JS -->
		<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.4/dist/tf.min.js"></script>

		<!-- Bootstrap -->
		<link
			rel="stylesheet"
			href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css"
			integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm"
			crossorigin="anonymous"
		/>
		<script
			src="https://code.jquery.com/jquery-3.2.1.slim.min.js"
			integrity="sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN"
			crossorigin="anonymous"
		></script>
		<script
			src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.12.9/umd/popper.min.js"
			integrity="sha384-ApNbgh9B+Y1QKtv3Rn7W3mgPxhU9K/ScQsAP7hUibX39j7fakFPskvXusvfa0b4Q"
			crossorigin="anonymous"
		></script>
		<script
			src="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/js/bootstrap.min.js"
			integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl"
			crossorigin="anonymous"
		></script>

		<!-- Font Awesome -->
		<link
			rel="stylesheet"
			href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css"
		/>

		<!-- Imports -->
		<script src="src/Environment.js"></script>
		<script src="src/Pipe.js"></script>
		<script src="src/Ground.js"></script>
		<script src="src/Population.js"></script>
		<script src="src/Bird.js"></script>
		<script src="src/Brain.js"></script>
		<script src="src/Neuroevolution.js"></script>
		<script src="src/main.js"></script>

		<!-- Custom CSS -->
		<style>
			#canvas_card {
				margin: 50px auto;
				width: 704px;
			}

			#about_card {
				width: 80%;
				min-width: 704px;
				margin: auto;
				margin-bottom: 50px;
			}
		</style>

		<title>Flappy Bird AI</title>
	</head>

	<body>
		<div class="container-fullwidth">
			<!-- Header -->
			<header>
				<div class="navbar navbar-dark bg-dark box-shadow">
					<div class="container d-flex justify-content-around">
						<!-- Title -->
						<p class="navbar-brand d-flex align-items-center">
							<img
								src="images/bird.png"
								alt="Flappy Bird"
								width="30px"
								height="30px"
							/>
							<strong>Flappy Bird AI</strong>
						</p>

						<!-- State Buttons -->
						<div>
							<button
								id="trained_bird_button"
								class="btn btn-primary btn-lg"
							>
								Trained Bird
							</button>
							<button
								id="view_training_button"
								class="btn btn-secondary btn-lg"
							>
								View Training
							</button>
						</div>
					</div>
				</div>
			</header>

			<!-- Game Card -->
			<div id="canvas_card" class="card">
				<!-- Game -->
				<div
					id="canvas_container"
					class="d-flex justify-content-center"
				>
					<!-- P5 canvas injected here -->
				</div>
				<div class="d-flex justify-content-end">
					<div class="mt-3 mr-3">
						<h6>Game Speed</h6>
						<div id="speed_slider_container">
							<!-- P5 game speed slider injected here -->
						</div>
					</div>
				</div>

				<!-- Description -->
				<div class="card-body">
					<h5 id="game_title" class="card-title">
						<!-- Game title injected here -->
					</h5>
					<p id="game_description" class="card-text">
						<!-- Game description injected here -->
					</p>
					<p>
						See the <b><a href="#about_card">about</a></b> section
						for more details.
					</p>
					<hr />
					<!-- Game interactions -->
					<p>
						Press <kbd>S</kbd> to download the AI's Tensorflow model
					</p>
					<p>Move the slider to adjust the game speed</p>
				</div>
			</div>

			<!-- About Card -->
			<div id="about_card" class="card">
				<div class="card-header">
					<h5>About</h5>
				</div>
				<div class="card-body">
					<p class="card-text">
						This AI was trained using
						<b>N.E.A.T</b>. This is a genetic algorithm that trains
						the AI by creating generations of agents and simulating
						them in a environment. Each bird has a Neural Network
						that will decide to make the bird flap based on its
						inputs. The birds with the best Neural Networks are
						selected for the next generation and slightly mutated to
						create new behavior.
					</p>
					<p class="card-text">
						This project was made using
						<a href="https://p5js.org/"><b>P5js</b></a> to render
						the game and
						<a href="https://www.tensorflow.org/js"
							><b>TensorFlow js</b></a
						>
						to create the Neural Networks.
					</p>
					<div>
						<img
							src="images/p5js_logo.png"
							alt="p5js logo"
							width="100px"
						/>
						<img
							src="images/tensorflow_logo.png"
							alt="tensorflow logo"
							width="100px"
						/>
					</div>

					<div class="mt-4 mb-4">
						<p class="card-text">
							The code for this project can be found
							<a
								href="https://github.com/SeanFitz1997/FlappyBird_AI"
								><b>Here</b>.
								<i
									class="fa fa-github"
									style="font-size:48px;"
								></i
							></a>
						</p>
					</div>

					<h6 class="card-title">Neural Network</h6>
					<p class="card-text">
						Each bird has a Neural network that determines whether
						to flap or not. This network is a sequential model made
						up of three <b>dense layers</b>. An input layer with 5
						neurons, a hidden layer with 8 neurons and a output
						layer with 2 neurons.
					</p>
					<p class="card-text">
						The five inputs the bird receives are:
					</p>
					<ol>
						<li>The Birds Y position</li>
						<li>The Birds velocity</li>
						<li>The Birds distance from the pipe</li>
						<li>The Y position of the top pipe</li>
						<li>The Y position of the bottom pipe</li>
					</ol>
					<p class="card-text">
						The output layer has a <b>softmax activation</b> and
						will return two values that will add up to one. The bird
						will flap if the first value is greater than the second
						and will not if the opposite is true.
					</p>
					<div class="d-flex justify-content-around mt-4 mb-4">
						<img src="images/inputs_diagram.png" width="45%" />
						<img
							src="images/neural_network_diagram.png"
							width="45%"
						/>
					</div>

					<h6 class="card-title">Training Process</h6>
					<p class="card-text">
						The training process for this AI involves:
					</p>
					<ol>
						<li>
							Create an initial population of <b>N</b> Birds with
							neural networks containing random weights
						</li>
						<li>
							Simulate the population in the environment until all
							birds have died.
						</li>
						<li>
							Create the next generation with the best preforming
							bird's Neural networks.
						</li>
						<li>
							Mutate a small portion of weights in each birds
							Neural network <small>(E.g. 10%)</small>with random
							values to create new behaviors.
						</li>
						<li>
							Repeat steps 2 - 4 until birds can successfully
							navigate the environment.
						</li>
					</ol>
				</div>
			</div>
		</div>
	</body>

	<!-- Page Interaction -->
	<script src="index.js"></script>
</html>