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Scale-OSPO

Article: Zijian Zhao, Sen Li*, "OSPO: One-Step Policy Optimization for Real-Time Order Assignment on Ride-Sharing Platforms with Autonomous Vehicles" (under review)

1. Workflow

2. Simulator

Please refer to RS2002/OSPO: Official Repository for The Paper, One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms.

3. How to Run

3.1 Pre-train

Execute the following command in the ./OSPO/pretrain directory:

python train.py

3.2 Fine-tune

Execute the following command in the ./OSPO/finetune directory:

python train.py --model_path <path_to_trained_model_from_pretraining>

4. Reference


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Official Repository for The Paper, OSPO: One-Step Policy Optimization for Real-Time Order Assignment on Ride-Sharing Platforms with Autonomous Vehicles

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