ai-economist
pymarl2
Our great sponsors
| ai-economist | pymarl2 | |
|---|---|---|
| 5 | 1 | |
| 1,060 | 556 | |
| - | - | |
| 0.0 | 5.0 | |
| 8 months ago | 4 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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
-
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
pymarl2
-
MARL top conference papers are ridiculous
https://github.com/hijkzzz/pymarl2 (RIIT)
What are some alternatives?
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
nlp-recipes - Natural Language Processing Best Practices & Examples
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
auto-sklearn - Automated Machine Learning with scikit-learn
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.
fast-reid - SOTA Re-identification Methods and Toolbox
MLflow - Open source platform for the machine learning lifecycle
SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
tf2multiagentrl - Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
Emergent-Multiagent-Strategies - Emergence of complex strategies through multiagent competition