381 Open source projects that are alternatives of or similar to SARNet

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

PyTorch implementation of Soft Actor-Critic (SAC)

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

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

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

DrQ: Data regularized Q

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

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

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

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

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

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

MuZero

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

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Reinforcement Learning Algorithms

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

A collection of multi-agent reinforcement learning OpenAI gym environments

Gym Management System provides an easy to use interface for the users and a database for the admin to maintain the records of gym members.

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

Training (hopefully) safe agents in gridworlds

Machine- and Reinforcement Learning ExtensioN for (game) Engines

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

Introduction to Deep Reinforcement Learning

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

🎳 Environments for Reinforcement Learning

Distributed A3C

No description or website provided.

Open-source reinforcement learning environment for autonomous racing.

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

My notes on reinforcement learning papers

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG

Examples

Fitness landscape exploration sandbox for biological sequence design.

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

Evaluating pre-trained navigation agents under corruptions

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Deep reinforcement learning with tensorflow2

Developing a deep neural network to play a snake game

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

Hierarchical-DQN in pytorch (not actively maintained)

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.

Deep Reinforcement Learning algorithms implemented in PyTorch

Autonomous Drifting using Reinforcement Learning

Research repo of RL

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

Proto-RL: Reinforcement Learning with Prototypical Representations

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

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

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

With underflow, create trafic light clusters that interact together to regulate circulation

Environment that can be used to evaluate reasoning capabilities of artificial agents

Multi-agent reinforcement learning environment

High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters

A pytorch tutorial for DRL(Deep Reinforcement Learning)