1892 Open source projects that are alternatives of or similar to Deep Rl Trading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Minimal and Clean Reinforcement Learning Examples

RLgraph: Modular computation graphs for deep reinforcement learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

An environment to high-frequency trading agents under reinforcement learning

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Uonfficial wrapper for financial data api from the Scandinavian broker Nordnet

Repo for the Deep Reinforcement Learning Nanodegree program

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Scalable, event-driven, deep-learning-friendly backtesting library

Deep Reinforcement Learning with pytorch & visdom

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Highly Modular and Scalable Reinforcement Learning

🤖 Implements of Reinforcement Learning algorithms.

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

modular quant framework.

Let Python optimize the best stop loss and take profits for your TradingView strategy.

Pure terminal stock ticker for Windows.

📈📆 Backtest trading strategies concurrently using historical chart data from various financial exchanges.

📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Live Quant Trading Framework for Robinhood, using IEX Trading and AlphaVantage for Free Prices.

Python library for Reinforcement Learning.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Simple algorithmic stock and option trading for Node.js.

A PyTorch library for building deep reinforcement learning agents.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Quantitative systematic trading strategy development and backtesting in Julia

Master Thesis: Limit order placement with Reinforcement Learning

TensorFlow implementation of Deep Reinforcement Learning papers

Simple javascript library containing methods for financial technical analysis

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Deep Reinforcement Learning (DRL) agents applied to medical images

Algorithmic trading strategies

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

Teach a Quadcopter How to Fly!

Technical Analysis Library Time-Series

A Java API for Developing Automated Trading Applications for the Equity, Futures, and Currency Markets

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

ROS 2 enabled Machine Learning algorithms