Optimal City Navigation for Pedestrians using Agent-specific $ Q $-learning

Predicting Pedestrian Crossing Behavior at Unsignalized Mid-Block Crosswalks Using Maximum Entropy Deep Inverse Reinforcement Learning

Y Wang, Y Niu, W Zhu, W Chen, Q Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the future driverless scenario, pedestrian-vehicle conflict is an unavoidable traffic problem
at unsignalized mid-block crosswalks. Autonomous vehicles are obviously impossible to …
相关文章

Optimal metro route identification using Q-Learning

P Miglani, A Katal, H Upadhyay… - … Conference on Recent …, 2021 - ieeexplore.ieee.org
Public transport plays quite an essential role in the life of a common man. In metropolitan
cities, people try to avoid road-based public transport due to reasons like increasing road …
被引用次数：1 相关文章
[PDF] researchgate.net

[PDF][PDF] Optimal metro route identification using Q-Learning

A Katal, H Upadhyay, P Miglani, J Kochar - researchgate.net
Public transport plays quite an essential role in the life of a common man. In metropolitan
cities, people try to avoid road-based public transport due to reasons like increasing road …
相关文章

[引用][C] Understanding Route Choice Behaviours Using Macro-Level Patterns: A Q-Learning Approach

MC Ozkan, T Cheng - Available at SSRN 4262015
被引用次数：1 相关文章