If we assume that Tesla's resources are dedicated to developing deep reinforcement learning-based autonomous driving cars, would they be able to achieve full self-driving?
Dear Amjad Yousef majid,
You can use it by specifying in a clear and simple way the elements of the environment, also i suggest you see following links.
https://towardsdatascience.com/reinforcement-learning-towards-general-ai-1bd68256c72d
https://towardsdatascience.com/applying-of-reinforcement-learning-for-self-driving-cars-8fd87b255b81
https://thinkautonomous.medium.com/deep-reinforcement-learning-for-self-driving-cars-an-intro-4c8c08e6d06b
https://arxiv.org/pdf/2002.00444.pdf
https://www.manning.com/liveproject/deep-reinforcement-learning-for-self-driving-robots
http://www.it.kmitl.ac.th/~kitsuchart/download/publications/C-2021-ChukamphaengPasupaAntenreiterAuer.pdf
Article Deep reinforcement learning based control for Autonomous Veh...
Best regards
The following paper of ours might be useful:
https://ieeexplore.ieee.org/document/9574048
Article A Deep Reinforcement Learning Approach for Autonomous Highway Driving
https://towardsdatascience.com/do-you-want-to-train-a-simplified-self-driving-car-with-reinforcement-learning-be1263622e9e
self-driving cars learn by translating the actions of surrounding vehicles into their own frames of reference—their deep learning algorithm–powered neural networks. These other cars may be human-driven vehicles without any sensors, or another company's auto-piloted vehicles.
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