1154 Open source projects that are alternatives of or similar to Torchrl

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

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!

AI斗地主

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

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

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

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

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

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Implementation of algorithms for continuous control (DDPG and NAF).

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Explore and find reinforcement learning environments in a list of 150+ open source environments.

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

Lightweight deep RL Libraray for continuous control.

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

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

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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

Reinforcement Learning Algorithms

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Awesome Books

Implementing trajectory optimization on bipedal system

✔ My Solutions of (Algorithmic-Toolbox ) Assignments from Coursera ( University of California San Diego ) With "Go In Depth" Part Which Contains More Details With Each of The Course Topics

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

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

wyhash fast portable non-cryptographic hashing algorithm and random number generator in Rust

Create React from zero series

Open source collection of Reinforcement Learning Environments.

All Algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.

此项目是《剑指offer》第二版里算法面试题的Python3实现版本，作为一本经典书籍，可以时常拿出来看一看、翻一翻、记一记。同时也是为了Python程序员能够更好的通过公司的技术面试，拿到心仪的offer。

Solved algorithms and data structures problems in many languages

Gridworld environments for OpenAI gym.

Basic reinforcement learning implementation with tensorflow version 2.0

✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Make your first PR! ~ A beginner-friendly repository made specifically for open source beginners. Add your profile, a blog, or any program under any language or update the existing one. Just make sure to add the file under the correct directory. Happy hacking!

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car

💎 A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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

List of summer schools in machine learning + related fields across the globe

A high-level machine learning and deep learning library for the PHP language.

Algorithms and Data Structures implemented in Java

jsprit is a java based, open source toolkit for solving rich vehicle routing problems

Machine learning and data science blog.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Scripts that illustrate basic cryptography concepts based on Coursera Standford Cryptography I course and more.

Notes and comments about Deep Reinforcement Learning papers

A simple algorithm for generating crosswords written on Swift. Based on Python Crossword Puzzle Generator.

Math, Advanced Data Structures & Algorithms - Please check before use

This is the official implementation of Multi-Agent PPO.

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)