Reinforcement learning method for driver incentives: generative adversarial network for driver-system interactions

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United States of America Patent

PATENT NO 11861643
APP PUB NO 20220261833A1
SERIAL NO

17618864

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A system and method of determining a policy to prevent fading drivers is described. The system and method creates virtual trajectories of incentives such as coupons offered to drivers in a transportation hailing system and corresponding states of drivers in response to the incentives. A joint policy simulator is created from an incentive policy, a confounding incentive policy, and an incentive object policy to generate the simulated actions of drivers in response to different incentives. The rewards of the simulated actions of the drivers is determined by a discriminator. The incentive policy for preventing fading drivers is optimized by reinforcement learning based on the virtual trajectories generated by the joint policy simulator and discriminator.

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Patent Owner(s)

Patent OwnerAddress
DIDI RESEARCH AMERICA LLC450 NATIONAL AVE MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Li, Qingyang Mountain View, US 16 16
Meng, Yiping Mountain View, US 5 1
Qin, Zhiwei Mountain View, US 60 162
Shang, Wenjie Mountain View, US 4 1
Ye, Jieping Mountain View, US 16 113
Yu, Yang Mountain View, US 320 1725

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