salesforce/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).

Archived
38
/ 100
Emerging

Implements a Gym-compatible multi-agent environment where individual agents engage in production and trade while governments set policies like taxation, creating a two-level RL problem. Integrates with RLlib and WarpDrive for distributed multi-agent training, and includes pre-built pandemic and taxation policy simulations alongside composable building blocks for custom economic scenarios.

103 stars. No commits in the last 6 months.

Archived Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 9 / 25
Community 20 / 25

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Stars

103

Forks

27

Language

Python

License

BSD-3-Clause

Last pushed

Aug 20, 2023

Commits (30d)

0

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