6429 Open source projects that are alternatives of or similar to Policy Gradient Methods

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Repo for the Deep Reinforcement Learning Nanodegree program

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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..

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

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

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

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

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

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

Accompanying repository for Let's make a DQN / A3C series.

Repository for most of the code from my YouTube channel

Implementation of Meta-RL A3C algorithm

Reinforcement Learning for Portfolio Management

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

A PyTorch library for building deep reinforcement learning agents.

Learning to trade under the reinforcement learning framework

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A3C LSTM Atari with Pytorch plus A3G design

Python library for Reinforcement Learning.

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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Grokking Deep Reinforcement Learning

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

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

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Multiple implementations for abstractive text summurization , using google colab

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Paper reading notes on Deep Learning and Machine Learning

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Quiz & Assignment of Coursera

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Stock Trading Bot using Deep Q-Learning

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Quiz & Assignment of Coursera

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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

Solutions of Reinforcement Learning, An Introduction

Asynchronous Methods for Deep Reinforcement Learning

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

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

backtrader with DRL ( Deep Reinforcement Learning)

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

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

My experimentations with Reinforcement Learning in Pytorch

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

DrQ: Data regularized Q