Learning to Drive in the NGSIM Simulator Using Proximal Policy Optimization
As a popular research field, autonomous driving may offer great benefits for human society. To achieve that, current studies often applied machine learning methods like reinforcement learning to enable an agent to interact and learn in a stimulating environment. However, most simulators lack realist...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/4127486 |
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