WebThe inputs are the rays (as you can see above) that act as sight lines, and the network is fed in their lengths, and the birds vertical velocity. It seems that the best bird is essentially ignoring all the sight lines except … WebJun 26, 2024 · In this paper, by utilizing a genetic algorithm, the convergence of neural network in DQN is accelerated. In the end, we evaluate the proposed method can achieve better convergence rate with the environment of flappy bird, and the results demonstrate the superiority of our method.
Flappy Bird: Optimization of Deep Q-Network by Genetic Algorithm
WebFeb 22, 2024 · Pull requests. This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress) algorithm deep-learning atari2600 flappy-bird deep-reinforcement-learning pytorch dqn ddpg sac actor … WebUsing Deep Q-Network to Learn How To Play Flappy Bird. 7 mins version: DQN for flappy bird. Overview. This project follows the description of the Deep Q Learning algorithm described in Playing Atari with Deep Reinforcement Learning [2] and shows that this learning algorithm can be further generalized to the notorious Flappy Bird. greek festival 2022 cincinnati
Genetic Algorithm and Application in training Multilayer …
WebNov 22, 2024 · Genetic Algorithm especially NEAT concept. Unsupervised Learning. Neural Network. NEAT-Python used in developing the Genetic Algorithm (NEAT) and also the Neural Network (Forward Propagation) Matplotlib and Pillow used in the visualization of the neural network. Pygame used for creating the game (Environment) WebMay 11, 2024 · We created an artificial neural network and used a genetic algorithm to optimise the neuron connection weights by applying an iterative selection and mutation process. To play Flappy Bird. You ... Webneuroevolution-flappy-bird. Using artificial neural network and genetic algorithm to train bot to play Flappy Bird. Neural network architecture. Neural network used is simple neural network with 3 inputs, 8 hidden neurons and 2 output neurons. Inputs to the network are: Horizontal distance from the bird to the center of the closest pipe flow boiler company