marl-fleet-fairness-eval
willy410-hub
Multi-agent RL environment for fairness-aware delivery fleet dispatch — PettingZoo + RLlib, calibrated on real NYC TLC data. Includes human-annotation, automated QA gating, checkpoint fine-tuning, synthetic scenario generation, distributed rollout benchmarking, and a versioned benchmark suite.
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1 data points · 2026-10-17 → 2026-10-17How do you feel about this project?
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