pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios) (by hijkzzz)
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)
| pymarl2 | ai-economist | |
|---|---|---|
| 1 | 5 | |
| 556 | 1,060 | |
| - | - | |
| 5.0 | 0.0 | |
| 4 months ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | 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.
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.
pymarl2
Posts with mentions or reviews of pymarl2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-17.
-
MARL top conference papers are ridiculous
https://github.com/hijkzzz/pymarl2 (RIIT)
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.
-
Agent-based modeling in applied economics?
3 Area of Reinforcement learning, in particular, has demonstrated impressive breakthroughs recently. There were attempts to apply it to economic policy planning and finance
- "The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning", Zheng et al 2021 {Salesforce}
- How to assemble the The AI Economist program in python ?
- IA economista comparou modelos de livre mercado, de taxação maior sobre os ricos, e seu próprio modelo de desenvolvimento para descobrir qual deles melhor promove alta produtividade e igualdade social. Resultado: livre mercado é o pior modelo, e a IA se saiu melhor que o modelo proposto por Saez
-
Improving Equality and Productivity with AI-Driven Tax Policies
They're also on Github -> https://github.com/salesforce/ai-economist
What are some alternatives?
When comparing pymarl2 and ai-economist you can also consider the following projects:
nlp-recipes - Natural Language Processing Best Practices & Examples
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
auto-sklearn - Automated Machine Learning with scikit-learn
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain
fast-reid - SOTA Re-identification Methods and Toolbox
maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.