kyokin78 / rl-flappybird
Use reinforcement learning to train a flappy bird which NEVER dies in Python.
☆36Updated 5 years ago
Alternatives and similar repositories for rl-flappybird:
Users that are interested in rl-flappybird are comparing it to the libraries listed below
- An AI program that plays Flappy Bird using reinforcement learning.☆40Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- An environment of the board game Go using OpenAI's Gym API☆173Updated 2 years ago
- Using the deep reinforcement learning algorithm A3C to train my agent to play the Atari game Breakout!☆32Updated 6 years ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆752Updated last year
- An RL agent for the Google Football environment☆95Updated 3 years ago
- Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.☆38Updated 2 years ago
- Train a tic-tac-toe agent using reinforcement learning.☆61Updated 4 years ago
- Connect4 reinforcement learning by AlphaGo Zero methods.☆114Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆176Updated 9 months ago
- This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube☆75Updated 7 years ago
- Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.☆101Updated 2 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆293Updated 5 years ago
- An OpenAI Gym interface to Tetris on the NES.☆52Updated last year
- A collection of multi agent environments based on OpenAI gym.☆598Updated 9 months ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆366Updated last year
- Application of proximal policy optimization algorithm to the card game Big 2 using Tensorflow☆79Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 4 years ago
- Coding Demos from the School of AI's Move37 Course☆184Updated 6 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆182Updated 7 months ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆71Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆702Updated 2 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆216Updated 5 years ago
- Find best-response to a fixed policy in multi-agent RL☆283Updated 3 years ago
- Deep Q Learning via Pytorch☆86Updated 7 years ago
- Double Deep Q-Learning with Prioritized Experience Replay☆34Updated 7 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆86Updated last year
- ☆80Updated 6 years ago
- Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"☆207Updated 3 years ago
- Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout☆92Updated 6 years ago