322 Open source projects that are alternatives of or similar to Spinning Up Basic

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)

Malmo Collaborative AI Challenge - Team Pig Catcher

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

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

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

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

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

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

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

🤖 Implements of Reinforcement Learning algorithms.

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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

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

An offline deep reinforcement learning library

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Highly Modular and Scalable Reinforcement Learning

PyTorch implementation of Trust Region Policy Optimization

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

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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

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

Top 200 deep learning Github repositories sorted by the number of stars.

DrQ: Data regularized Q

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

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

Deep Planning Network: Control from pixels by latent planning with learned dynamics

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

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Python (pytorch) code for Lu, Q., Hasson U. & Norman K. A. (2021). When to retrieve and encode episodic memories: a neural network model of hippocampal-cortical interaction.

Notes on Deep Reinforcement Learning for Natural Language Processing papers

an implementation of CommNet

Teach a Quadcopter How to Fly!

[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.

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

A pytorch tutorial for DRL(Deep Reinforcement Learning)

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Open-source reinforcement learning environment for autonomous racing.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

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

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.

Simple Reinforcement Learning Framework

Reinforcement learning environments with musculoskeletal models

The code for the SRDQN algorithm to train an agent for the beer game problem

Deep reinforcement learning for recommendation system

TensorFlow and Deep Learning Tutorials

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

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

深度学习论文阅读路线图

Reinforcement learning with tensorflow 2 keras

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

Notes and comments about Deep Reinforcement Learning papers

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"