A concurrent/synchronized DQN implementation optimized for multi-CPU, single-GPU systems.

Stratified Experience Replay. Correcting Multiplicity Bias in Off-Policy Deep Reinforcement Learning. AAMAS 2021.

An elegant PyTorch deep reinforcement learning library.

Massively Parallel Deep Reinforcement Learning. 🔥

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess …

Gridworld domains in the gym interface

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Beamer theme for Northeastern University

SMAC: The StarCraft Multi-Agent Challenge

netease cloud music terminal client by rust ⚡

A wiki containing information about NEU's Discovery Cluster.

Paper list of multi-agent reinforcement learning (MARL)

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

TensorFlow Reinforcement Learning

Ring buffer that allows for high-throughput data transfer between multiproccessing Python processes.

My personal website, written with python/Flask

Web-based Reinforcement Learning Control Center

Atari-DRQN (keras ver.)

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

Google Drive client for the commandline

汤不热 python 多线程爬虫

OpenCL 1.2 implementation for Tensorflow

Jupyter notebook extension that enables highlighting every instance of the current word in the notebook

📖 [译] 写给人类的机器学习

Deep Reinforcement Learning for Keras.

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计