Deep Q‐network implementation for simulated autonomous vehicle control
Abstract Deep reinforcement learning is poised to be a revolutionised step towards newer possibilities in solving navigation and autonomous vehicle control tasks. Deep Q‐network (DQN) is one of the more popular methods of deep reinforcement learning that allows the agent that controls the vehicle to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-07-01
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| Series: | IET Intelligent Transport Systems |
| Online Access: | https://doi.org/10.1049/itr2.12067 |