首页|Reports Outline Robotics Study Results from Gyeonggi Do (Feedback-Based Curricul um Learning for Collision Avoidance)
Reports Outline Robotics Study Results from Gyeonggi Do (Feedback-Based Curricul um Learning for Collision Avoidance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news reporting originating from Gyeonggi Do, South Korea, by NewsRx correspondents, research stated, “This paper proposes a novel curriculum learning approach for collision avoidance using feedback from t he deep reinforcement learning (DRL) training process. Previous research on DRL- based collision avoidance algorithms has encountered challenges such as long tra ining times and difficulty in convergence due to sparse rewards.”
Department of Mechanical Design Engineer ingGyeonggi DoSouth KoreaAsiaEmerging TechnologiesMachine LearningRo botRobotics
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