There are 11 repositories under deep-q-network topic.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Minimal and Clean Reinforcement Learning Examples
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Deep Reinforcement Learning based Trading Agent for Bitcoin
A reinforcement learning package for Julia
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Deep Q-learning for playing flappy bird game
Implementations of Reinforcement Learning Models in Tensorflow
Deep Q-learning for playing tetris game
RAD: Reinforcement Learning with Augmented Data
Deep Q-Learning Network in pytorch (not actively maintained)
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
Pytorch implementation of distributed deep reinforcement learning
Deep Convolutional Q learning based Self learning implementation for Subway Surfers game
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.