ai-economist
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ai-economist | 0xDeCA10B | |
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5 | 3 | |
1,060 | 548 | |
- | 1.6% | |
0.0 | 0.0 | |
8 months ago | 10 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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ai-economist
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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
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Improving Equality and Productivity with AI-Driven Tax Policies
They're also on Github -> https://github.com/salesforce/ai-economist
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Discussion Thread
Between this, their blockchain-based machine learning sharing system and their recent patent for a cryptocurrency mined using your brain activity, it seems like Microsoft is really going hard on crypto lately.
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Integration test: Complexity of privacy-preserving bird call bio-sensor for distributed ecological monitoring?
Some of the technologies which could be integrated include differential privacy, distributed online machine learning, misinformation resilience and multi-party computation, all within the context of smart contracts and bioinformatics.
What are some alternatives?
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PySyft - Perform data science on data that remains in someone else's server
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB
maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Lixur - Lixur is an open-sourced project that seeks to build a scalable, feeless, decentralized, quantum-secure, and easy-to-use blockchain with smart, and intelligent (A.I.) contract functionality.
MLflow - Open source platform for the machine learning lifecycle
river - 🌊 Online machine learning in Python
tf2multiagentrl - Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
GPT2-api - 🤖 (Easily) run your own GPT-2 API. Post writing prompts, get AI-generated responses