475 Open source projects that are alternatives of or similar to Hands On Intelligent Agents With Openai Gym

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

Python library for Reinforcement Learning.

A3C LSTM Atari with Pytorch plus A3G design

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

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

[파이썬과 케라스로 배우는 강화학습] 예제

Autonomous Drifting using Reinforcement Learning

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

Deep Reinforcement Learning with pytorch & visdom

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Minimal and Clean Reinforcement Learning Examples

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

Repo for the Deep Reinforcement Learning Nanodegree program

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

No description or website provided.

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

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..

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

PyTorch implementation of Soft Actor-Critic (SAC)

Implementations of Reinforcement Learning Models in Tensorflow

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

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

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

Reinforcement learning with tensorflow 2 keras

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

Repository for codes of 'Deep Reinforcement Learning'

A PyTorch library for building deep reinforcement learning agents.

Reinforcement Learning Algorithms

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

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

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

Implementations of deep RL papers and random experimentation

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

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

ChainerRL is a deep reinforcement learning library built on top of Chainer.

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

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

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

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

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

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

TensorFlow implementation of Deep Reinforcement Learning papers

🤖 Implements of Reinforcement Learning algorithms.

Highly Modular and Scalable Reinforcement Learning

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

Solving OpenAI Gym problems.

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.