Alternatives and similar repositories for gpFlappyBird:

Users that are interested in gpFlappyBird are comparing it to the libraries listed below

• rgal / gym-2048
  Open AI gym environment for the game 2048
  ☆71Updated 2 years ago
• jasonrute / puzzle_cube
  Solving the Rubik's cube with deep reinforcement learning and Monte Carlo tree search
  ☆98Updated 5 years ago
• Alro10 / awesome-deep-neuroevolution
  A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
  ☆223Updated 3 years ago
• xmfbit / DQN-FlappyBird
  Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch
  ☆67Updated 7 years ago
• heucoder / carAI-Demo
  使用浅层神经网络和遗传算法训练一个可以自动驾驶小车的Demo
  ☆83Updated 4 years ago
• YuriCat / MuZeroJupyterExample
  ☆66Updated 3 years ago
• pandezhao / alpha_sigma
  A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
  ☆163Updated 5 years ago
• dylandjian / SuperGo
  A student implementation of Alpha Go Zero
  ☆279Updated 6 years ago
• tanliyon / gym-xiangqi
  This repo sets up the environment to play Xiang Qi (chinese chess) following the OpenAI Gym framework.
  ☆34Updated 2 years ago
• richemslie / galvanise_zero
  Learning from zero (mostly based off of AlphaZero) in General Game Playing.
  ☆81Updated 2 years ago
• arrti / mcts
  An Python N-in-Row game based on Monte Carlo Tree Search and UCT RAVE
  ☆50Updated 7 years ago
• ShawK91 / Evolutionary-Reinforcement-Learning
  Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…
  ☆224Updated 4 years ago
• vivek3141 / super-mario-neat
  This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
  ☆103Updated 2 years ago
• moshesipper / tiny_gp
  Tiny Genetic Programming in Python.
  ☆99Updated last year
• enhuiz / flappybird-ql
  ☆222Updated 5 years ago
• sjtu-marl / malib
  A parallel framework for population-based multi-agent reinforcement learning.
  ☆515Updated last year
• ukuleleplayer / pureples
  Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
  ☆114Updated last year
• Nasdin / ReinforcementLearning-AtariGame
  Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…
  ☆179Updated 5 months ago
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆170Updated 2 years ago
• andyliu42 / Counterfactual_Regret_Minimization_Python
  Counterfactual Regret Minimization (CFR) sample code in Python
  ☆13Updated 5 years ago
• tychovdo / PacmanDQN
  Deep Reinforcement Learning in Pac-man
  ☆280Updated 9 months ago
• ddehueck / pytorch-neat
  A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
  ☆105Updated 6 months ago
• blanyal / alpha-zero
  AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Maste…
  ☆88Updated 6 years ago
• tinyzqh / awesome-reinforcement-learning
  Learning Resources And Links Of Reinforcement Learning （updating）
  ☆245Updated 3 years ago
• Narsil / alphagozero
  Unofficial attempt to rebuild AlphaGo Zero
  ☆56Updated 9 months ago
• Kautenja / playing-mario-with-deep-reinforcement-learning
  An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
  ☆70Updated 3 years ago
• Kautenja / gym-tetris
  An OpenAI Gym interface to Tetris on the NES.
  ☆50Updated last year
• xiaochus / Deep-Reinforcement-Learning-Practice
  Practice of Deep Reinforcement Learning with Keras and gym.
  ☆158Updated 5 years ago
• vivek3141 / pacman-ai
  A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning
  ☆27Updated 5 years ago
• initial-h / AlphaZero_Gomoku_MPI
  An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
  ☆196Updated 5 years ago