59 Open source projects that are alternatives of or similar to hra

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

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

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

A universal flight control tuning framework

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

An environment to high-frequency trading agents under reinforcement learning

AI research environment for the Atari 2600 games 🤖.

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

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

⚡️ ⚡️ 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐

A PyTorch Library for Reinforcement Learning Research

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

ROS 2 enabled Machine Learning algorithms

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

人工智能论文关键点集结。This project aims to collect key points of AI papers.

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

MuZero

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

A Trading environment base on Gym

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

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

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Hearthstone simulator using C++ with some reinforcement learning

Python library for Reinforcement Learning.

A curated list of Monte Carlo tree search papers with implementations.

Spriteworld: a flexible, configurable python-based reinforcement learning environment

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

DrQ: Data regularized Q

RAD: Reinforcement Learning with Augmented Data

OpenNARS for Research 3.0+

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

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

An elegant PyTorch deep reinforcement learning library.

Graph-based Deep Q Network for Web Navigation

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

Generic reinforcement learning codebase in TensorFlow

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

Samples for TensorFlow binding for .NET by Lost Tech

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

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

Proto-RL: Reinforcement Learning with Prototypical Representations

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

Run OpenAI Gym on a Server

Unrailed! simulator using C++ with some reinforcement learning and Unrailed! AI using Python with OpenCV

Logarithmic Reinforcement Learning

📒 Experiment tracking tool and model registry

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Revisiting Rainbow

OpenAI's Gym written in pure Rust for blazingly fast performance