football
ai-economist
| football | ai-economist | |
|---|---|---|
| 2 | 5 | |
| 3,253 | 1,060 | |
| 0.6% | - | |
| 0.0 | 0.0 | |
| 6 months ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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.
football
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Creating a new football game
For fun, merging such an idea with Google's open source football research project and its AI could result in a very interesting game!
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How to find which Manjaro package corresponds to which Debian packages?
So I switched to Manjaro from Ubuntu quite some time ago and I am loving the decision whenever I have to build an application there are a bunch of required packages that the application to build is dependent on. But as Debian-based distros are the most popular, the packages are listed as in the Debian Repository. So is there a way I can find which package in Manjaro Repository corresponds to the one in the Debian Repositories as the names of the packages are usually different. Like I was recently trying to install google-research football on my machine and there were the following packages listed as dependencies :-
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
What are some alternatives?
robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
space-gym - Challenging reinforcement learning environments with locomotion tasks in space
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
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
tf2multiagentrl - Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
seagull - A Python Library for Conway's Game of Life