Human-like decision making for lane change based on the cognitive map and hierarchical reinforcement learning

Author:

Lu ChaoORCID,Lu Hongliang,Chen Danni,Wang Haoyang,Li Penghui,Gong Jianwei

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference63 articles.

1. Vector-based navigation using grid-like representations in artificial agents;Banino;Nature,2018

2. Successor features for transfer in reinforcement learning;Barreto;Adv. Neural Inform. Process. Syst.,2017

3. What is a cognitive map? Organizing knowledge for flexible behavior;Behrens;Neuron,2018

4. R. Bhattacharyya et al., Modeling human driving behavior through generative adversarial imitation learning, arXiv preprint arXiv:.06412, 2020.

5. Hierarchically organized behavior and its neural foundations: a reinforcement learning perspective;Botvinick;Cognition,2009

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Discretionary Lane-Changing Decision Making Framework Combining Cumulative Prospect Theory and Discrete Choice Model;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Lane-changing decision and planning under humanized games for intelligent vehicles;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-04-01

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