OpenHail: An Event-Driven Gymnasium Environment for Electric Ride-Hailing Fleet Control

arXiv:2609.30628 · cs.LG, math.OC · Submitted 2026-09-24 · Read on arXiv

cs.LG, math.OC

Submitted: 2026-09-24

Updated: 2026-09-24

Comments: 10 pages, 3 figures, 5 tables. Source code available at https://github.com/tommaso-schettini/openhail

Code: https://github.com/tommaso-schettini/openhail

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 7× in this paper · explained in 4 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Modular Architecture — 2× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Research Review — 1× in this paper · explained in 6 episodes

Sources

• Atomic Proximal Policy Optimization for Electric Robo-Taxi Dispatch and Charger Allocation
• Gymnasium: A Standard Interface for Reinforcement Learning Environments
• RideGym: A Standardized Interface for Real-World Large-Scale Ride-Sharing System

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