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

TensorFlow implementation of Deep Reinforcement Learning papers

Modularized Implementation of Deep RL Algorithms in PyTorch

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

🤖 Implements of Reinforcement Learning algorithms.

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

Highly Modular and Scalable Reinforcement Learning

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

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.

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

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

Minimal implementations of reinforcement learning algorithms by Tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

A Universal Deep Reinforcement Learning Framework

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Reinforcement Learning for Super Mario Bros using A3C on GPU

Pytorch Implementation of RL algorithms

Cloud-native Financial Reinforcement Learning

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

JAX implementations of core Deep RL algorithms

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Deep Developmental Reinforcement Learning

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

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

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

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

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

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

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

Reinforcement Learning Algorithms

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.

A high-performance Atari A3C agent in 180 lines of PyTorch

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..

A PyTorch library for building deep reinforcement learning agents.

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

Implementations of Reinforcement Learning Models in Tensorflow

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

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

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

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

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

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

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

Master Thesis: Limit order placement with Reinforcement Learning

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

深度学习论文阅读路线图

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

An offline deep reinforcement learning library

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

An OpenAI gym wrapper for CARLA simulator

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A collection of materials to help you learn about deep learning