ai-economist VS tf2multiagentrl

Compare ai-economist vs tf2multiagentrl and see what are their differences.

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). (by salesforce)

tf2multiagentrl

Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x (by JohannesAck)
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ai-economist tf2multiagentrl
5 -
1,060 110
- -
0.0 3.4
8 months ago 6 months ago
Python Python
BSD 3-clause "New" or "Revised" 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.

ai-economist

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

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.

What are some alternatives?

When comparing ai-economist and tf2multiagentrl you can also consider the following projects:

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

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

pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

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

0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain

maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

MLflow - Open source platform for the machine learning lifecycle

football - Check out the new game server:

seagull - A Python Library for Conway's Game of Life