368 Open source projects that are alternatives of or similar to pytorchrl

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

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..

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

An OpenAI gym wrapper for CARLA simulator

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

Open-source simulator for autonomous driving research.

Imitation learning algorithms

TensorFlow2 Reinforcement Learning

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

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

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Introduction to Deep Reinforcement Learning

Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)

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

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

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

[ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"

Hierarchical-DQN in pytorch (not actively maintained)

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.

Open-source reinforcement learning environment for autonomous racing.

This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019).

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

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

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

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!

gail, infogail, hierarchical gail implementations

Fitness landscape exploration sandbox for biological sequence design.

Examples

Evaluating pre-trained navigation agents under corruptions

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Implementation of CoDAIL in the ICLR 2021 paper <Multi-Agent Interactions Modeling with Correlated Policies>

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

Autonomous Drifting using Reinforcement Learning

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

Research repo of RL

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

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

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

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

Deep Developmental Reinforcement Learning

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

Develop ultimate AI Pokémon trainer

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

Simple Reinforcement Learning Framework

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.

🐵 An AI chess-board-game framework(by many programming languages) implementations.

Deep Reinforcement Learning for Robotic Grasping from Octrees

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.