October 2019
Intermediate to advanced
366 pages
12h 4m
English
Content preview from Reinforcement Learning Algorithms with Python
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Intelligent transportation systems
Intelligent transportation systems can be empowered with RL to develop and improve all types of transportation systems. Its application can range from smart networks that control congestion (such as traffic signal controls), traffic surveillance, and safety (such as collision predictions), to self-driving cars.
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