摘要
机器人和机器学习的新闻编辑每日新闻-机器人的新研究-机器人和D自动化是一篇报道的主题。根据NewsRx记者在纽约布鲁克林的新闻报道，研究表明，“基于学习的方法，特别是强化学习(RL)，在自动多旋翼飞行器的控制中，对流衬部署、提高性能和实现泛化有很大的希望。Deep RL能够在模拟中以令人印象深刻的保真度和灵活性控制复杂系统，但SIMU Lation-to-Reality转换经常带来难以弥合的现实差距。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics - Robotics an d Automation is the subject of a report. According to news reporting originating in Brooklyn, New York, by NewsRx journalists, research stated, “Learning-based methods, particularly Reinforcement Learning (RL), hold great promise for stream lining deployment, enhancing performance, and achieving generalization in the co ntrol of autonomous multirotor aerial vehicles. Deep RL has been able to control complex systems with impressive fidelity and agility in simulation but the simu lation-to-reality transfer often brings a hard-to-bridge reality gap.”
NETL
NSTL