Abstract: Reinforcement learning (RL) offers a powerful paradigm for adaptive motion planning in complex driving environments. However, applying RL to autonomous driving remains challenging due to ...
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Abstract: In this paper, we present a deep-reinforcement learning(RL) approach to autonomous driving in a simulated environment, supported by a carefully crafted reward function. Using Unity's ...
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