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A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards
Transportation Research Part C: Emerging Technologies (TRC), 2022
18 June 2022
Zhan Zhao
Yuebing Liang
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Papers citing
"A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards"
4 / 4 papers shown
Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning
Yuran Sun
Susu Xu
Chenguang Wang
Xilei Zhao
173
0
0
22 May 2025
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning
Yuebing Liang
Shenhao Wang
Jiangbo Yu
Zhan Zhao
Jinhua Zhao
Sandy Pentland
227
0
0
17 Mar 2025
Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Tribhi Kathuria
Ke Liu
Junwoo Jang
X. J. Yang
Maani Ghaffari
220
2
0
12 Jan 2025
Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of locally perceived attributes
Yuki Oyama
70
4
0
14 Jul 2023
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