most citedMachine Learning for Electronic Design Automation: A Survey

18 citations · 18 across the 2 of their papers we have counts for

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cs.RO2022

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration

Yuanfan Xu, Jincheng Yu, Jiahao Tang +5

Autonomous exploration and mapping of unknown terrains employing single or multiple robots is an essential task in mobile robotics and has therefore been widely investigated. Never…