Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations

Author:

Schier Maximilian1,Reinders Christoph1,Rosenhahn Bodo1

Affiliation:

1. Leibniz University Hannover, L3S / Institute for Information Processing

Funder

Federal Ministry of Education and Research (BMBF)

Publisher

IEEE

Reference35 articles.

1. Dueling network architectures for deep reinforcement learning;wang;International Conference on Machine Learning,0

2. Asymmetric Student-Teacher Networks for Industrial Anomaly Detection

3. How attentive are graph attention networks?;brody;International Conference on Learning Representations,0

4. ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing

5. Evolutionary algorithm for parameter optimization of context steering agents;dockhorn;IEEE Transactions on Games,2022

Cited by 3 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. A Brief Survey of Deep Reinforcement Learning for Intersection Navigation of Autonomous Vehicles;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

2. Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

3. Evolutionary Optimization of Baba Is You Agents;2023 IEEE Congress on Evolutionary Computation (CEC);2023-07-01

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