gym VS ml-agents

Compare gym vs ml-agents and see what are their differences.

gym

A toolkit for developing and comparing reinforcement learning algorithms. (by openai)

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. (by Unity-Technologies)
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gym ml-agents
67 38
28,172 13,197
0.9% 1.2%
9.6 7.2
6 days ago 10 days ago
Python C#
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gym

Posts with mentions or reviews of gym. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-18.

ml-agents

Posts with mentions or reviews of ml-agents. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-01.

What are some alternatives?

When comparing gym and ml-agents you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

carla - Open-source simulator for autonomous driving research.

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

open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

agents - TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

hebel - GPU-Accelerated Deep Learning Library in Python

AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

gensim - Topic Modelling for Humans