Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles
We propose a new, hierarchical architecture for behavioral planning of vehicle models usable as realistic non-player vehicles in serious games related to traffic and driving. These agents, trained with deep reinforcement learning (DRL), decide their motion by taking high-level decisions, such as “k...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Serious Games Society
2023-11-01
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| Rangatū: | International Journal of Serious Games |
| Ngā marau: | |
| Urunga tuihono: | http://journal.seriousgamessociety.org/index.php/IJSG/article/view/638 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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