popgym VS ml-agents

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

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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popgym ml-agents
4 60
147 16,416
8.8% 1.4%
6.1 8.0
about 1 month ago 9 days ago
Python C#
MIT License 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.

popgym

Posts with mentions or reviews of popgym. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-25.

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 2023-05-08.

What are some alternatives?

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

recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT

gym - A toolkit for developing and comparing reinforcement learning algorithms.

brain-agent - Brain Agent for Large-Scale and Multi-Task Agent Learning

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

episodic-transformer-memory-ppo - Clean baseline implementation of PPO using an episodic TransformerXL memory

carla - Open-source simulator for autonomous driving research.

ppo-implementation-details - The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

AssetStudio - AssetStudio is a tool for exploring, extracting and exporting assets and assetbundles.

adaptive-transformers-in-rl - Adaptive Attention Span for Reinforcement Learning

unity-avatar-generation - A minimal example of how to use Unity's AvatarBuilder.BuildHumanAvatar API.

DI-engine - OpenDILab Decision AI Engine

ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents