drl-dql / DQN-Flappy-BirdLinks
πΉοΈ Flappy Bird hack using Deep Reinforcement Learning with Double Q-learning
β18Updated 4 years ago
Alternatives and similar repositories for DQN-Flappy-Bird
Users that are interested in DQN-Flappy-Bird are comparing it to the libraries listed below
Sorting:
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874β47Updated 4 years ago
- Implementation of Double Deep Q Networks and Dueling Q Networks using Keras on Space Invaders using OpenAI Gym. Code can be easily generaβ¦β37Updated 7 years ago
- Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic β¦β18Updated 6 years ago
- This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.β30Updated 7 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environmentβ48Updated 7 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).β63Updated 7 years ago
- β16Updated 4 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0β15Updated 7 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mβ¦β80Updated 6 years ago
- DQN based RL agent for Mountain Carβ13Updated 9 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"β130Updated 2 years ago
- Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorchβ70Updated 8 years ago
- Tensorflow implementation for "Noisy network for exploration"β19Updated 8 years ago
- Reinforcement Learning for Gym CarRacing-v0 game (Double Deep Q Network)β19Updated 7 years ago
- An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.β29Updated 8 years ago
- Notes and comments about Deep Reinforcement Learning papersβ77Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atariβ82Updated 7 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)β10Updated 7 years ago
- Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.β48Updated 7 years ago
- DQN implemented in keras with Dueling Network and Prioritized Experience Replayβ17Updated 6 years ago
- Using PyTorch and DDPG to play Torcsβ54Updated 6 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assetsβ16Updated 3 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.β103Updated 7 months ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantaβ¦β191Updated last year
- Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPOβ28Updated 2 years ago
- Deep reinforcement learning agents implement by tensorflow https://ghli.orgβ56Updated 6 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.β13Updated 5 years ago
- MAGNet: Multi-agents control using Graph Neural Networksβ132Updated 6 years ago
- Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action spaceβ46Updated 8 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.β10Updated 7 years ago