A comparison of genetic algorithm and reinforcement learning for autonomous driving
This paper compares two different methods, reinforcement learning and genetic algorithm for designing autonomous cars’ control system in a dynamic environment. The research problem could be formulated as such: How is the learning efficiency compared between reinforcement learning and genetic algorit...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261595 |