zhouker94/Multi-Agent-DRL
Multiagent deep reinforcement learning research project
This project explores how artificial intelligence can help manage shared resources, like fishing grounds or forests, to prevent depletion. It takes information about a resource system and the actions of multiple users, then simulates outcomes to find strategies that lead to both sustainability and economic benefits. Resource managers or policy makers interested in modeling collective action problems could use this.
Use this if you are a researcher or policy maker modeling how multiple independent agents make decisions that impact a shared, limited resource over time.
Not ideal if you need a plug-and-play solution for immediate real-world resource management, as this is a research project using deprecated software.
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Last pushed
Jan 25, 2026
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