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A deep reinforcement learning system for optimizing bridge maintenance decisions across municipal infrastructure fleets, implementing cross-subsidy budget sharing and cooperative multi-agent learning.
A cooperative multi-agent RL environment for adaptive traffic signal control across a 3x3 grid of intersections. Perfect for testing multi-agent coordination policies and demonstrating environment usage patterns.