Stable Inverse Reinforcement Learning via Leveraged Guided Motion Planner for Driving Behavior Prediction
Driving behavior prediction has become increasingly important, owing to rapid advancements in autonomous vehicle technologies. Inverse reinforcement learning (IRL) has emerged as a leading approach domain, as it allows the inference of underlying reward functions from human-driving demonstrations, e...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11006073/ |
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