Search Results - subject:"Inverse reinforcement learning"

AI in corporate governance : can machines recover corporate purpose?

Nikolov, Boris; Schürhoff, Norman; Wagner, Sam - 2025

Persistent link: https://www.econbiz.de/10015357878

Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

Zhang, Pujun; Lei, Dazhou; Liu, Shan; Jiang, Hai - In: Transportation research : an international journal 185 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10015078374

A game-theoretic framework for generic second-order traffic flow models using mean field games and adversarial inverse reinforcement learning

Mo, Zhaobin; Chen, Xu; Di, Xuan; Iacomini, Elisa; … - 2024

Persistent link: https://www.econbiz.de/10015359365

Meituan's real-time intelligent dispatching algorithms build the world's largest minute-level delivery network

Liang, Yile; Luo, Haocheng; Duan, Haining; Li, Donghui; … - In: INFORMS journal on applied analytics 54 (2024) 1, pp. 84-101

Persistent link: https://www.econbiz.de/10014487123

Massimo, David; Ricci, Francesco - In: Information technology & tourism 23 (2021) 4, pp. 473-508

Persistent link: https://www.econbiz.de/10012703234

AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning

Liu, Shan; Zhang, Ya; Wang, Zhengli; Gu, Shiyi - In: Transportation research / E : an international journal 177 (2023), pp. 1-15

Persistent link: https://www.econbiz.de/10014419319

A tutorial on recursive models for analyzing and predicting path choice behavior

Zimmermann, Maëlle; Frejinger, Emma - In: EURO journal on transportation and logistics 9 (2020) 2, pp. 1-12

including inverse optimization and inverse reinforcement learning. Second, we formally introduce the problem and the recursive …

Persistent link: https://www.econbiz.de/10012305304

Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions

Liu, Shan; Jiang, Hai - In: Transportation research / E : an international journal 164 (2022), pp. 1-15

Persistent link: https://www.econbiz.de/10013366679

Robot hand-eye cooperation based on improved inverse reinforcement learning

Yu, Ning; Nan, Lin; Ku, Tao - In: Industrial Robot: the international journal of robotics … 49 (2021) 5, pp. 877-884

reinforcement learning (IRL) algorithm and generative adversarial network can effectively reduce the dependence on expert samples … to improve the robots’ on-site decision-making ability. Design/methodology/approach The combination of inverse …

Persistent link: https://www.econbiz.de/10014835911

Integrating Dijkstra's algorithm into deep inverse reinforcement learning for food delivery route planning

Liu, Shan; Jiang, Hai; Chen, Shuiping; Ye, Jing; He, Renqing - In: Transportation research / E : an international journal 142 (2020), pp. 1-16

Persistent link: https://www.econbiz.de/10012319642