首页|Findings in Robotics Reported from Yeungnam University (AutonomousDriving of Mobile Robots in Dynamic Environments Based on Deep Deterministic Policy Gradient: Reward Shaping and Hindsight Experience Replay)
Findings in Robotics Reported from Yeungnam University (AutonomousDriving of Mobile Robots in Dynamic Environments Based on Deep Deterministic Policy Gradient: Reward Shaping and Hindsight Experience Replay)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented in a new report. According to news reporting out of Gyeongsan, South Korea, by NewsRx editors, research stated, “In this paper, we propose a reinforcementlearning-based end-to-end learning method for the autonomous driving of a mobile robot in a dynamicenvironment with obstacles.”
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