Webagent playing flappy bird and compare the performance of those learning algorithms including SRARA, Q-Learning, DQN and pol-icy gradient. The goal of flappy bird is … WebMay 20, 2024 · In 2014 the sleeper hit Flappy Bird took the mobile gaming world by storm. It has since been implemented in PyGame but most interestingly it lends itself well to reinforcement learning. The agent (bird) can only perform 2 actions (flap or do nothing) and is only interested in 1 environmental variable (the upcoming pipes).
GitHub - kubowania/flappy-bird: A game of Flappy Bird made in …
WebContribute to SaidChihabi/Flappy-Bird-AI development by creating an account on GitHub. WebFlappy Bird screen during training: Training results after 1000 episodes (~7 hours): Methodology Before applying reinforcement learning (RL) on games, we explored different learning algorithms of RL that we could use to make models learn from replay memory. how many minutes until 11 pm today
Playing Flappy Bird with Deep Reinforcement Learning
WebFlapPyBird-Reinforcement-Learning/flappy_rl.py Go to file Cannot retrieve contributors at this time 609 lines (516 sloc) 21.8 KB Raw Blame from itertools import cycle from collections import deque import copy import random import sys import pygame from pygame.locals import * # Initialize Q-learning agent from config import config WebJan 27, 2024 · A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebApr 11, 2024 · Here is my python source code for training an agent to play flappy bird. It could be seen as a very basic example of Reinforcement Learning's application. Result How to use my code With my code, you can: Train your model from scratch by running python train.py Test your trained model by running python test.py Trained models how many minutes until 11:30am