tf2multiagentrl VS maro

Compare tf2multiagentrl vs maro and see what are their differences.

tf2multiagentrl

Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x (by JohannesAck)

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems. (by microsoft)
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tf2multiagentrl maro
- 9
110 814
- 2.6%
3.4 3.5
6 months ago 2 months ago
Python Python
- MIT License
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.

tf2multiagentrl

Posts with mentions or reviews of tf2multiagentrl. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning tf2multiagentrl yet.
Tracking mentions began in Dec 2020.

maro

Posts with mentions or reviews of maro. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-12.

What are some alternatives?

When comparing tf2multiagentrl and maro you can also consider the following projects:

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

openerp-6.1.1

Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x

pyEnigma - Python Enigma cypher machine simulator.

blender-quadcopter-fpv - Quadcopter FPV Simulator for blender to capture epic footage

VMAgent - Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.

agents-aea - A framework for autonomous economic agent (AEA) development

palletier - Palletier is a Python implementation of the solution for the distributer's pallet packing problem