deep-q-network

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

Deep Reinforcement Learning based Trading Agent for Bitcoin

StarCraft II - pysc2 Deep Reinforcement Learning Examples

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.

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Deep Q-learning for playing flappy bird game

Deep Q-learning for playing tetris game

Implementations of Reinforcement Learning Models in Tensorflow

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