Navigating mobile robots through complex and dynamic environments poses a significant challenge in the field of robotics. Traditional methods often struggle to provide adaptive and efficient solutions, prompting the exploration of advanced techniques. This research delves into addressing the navigation problem by employing the Deep reinforcement learning techniques namely, Twin Delayed Deep Deterministic Policy Gradient algorithm.

Бархум М. (науч. рук. Пыркин А.А.) NAVIGATION IN MOBILE ROBOTS USING TWIN DELAYED DEEP DETERMINISTIC POLICY GRADIENT // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2024]. URL: https://kmu.itmo.ru/digests/article/13741