Home /Research /Path planning for active SLAM based on deep reinforcement learning under unknown environments
PERCEPTION

Path planning for active SLAM based on deep reinforcement learning under unknown environments

Shuhuan Wen, Yanfang Zhao, Xiao Yuan, Zongtao Wang, Dan Zhang, Luigi Manfredi

Year
2020
Citations
98

Keywords

Computer scienceReinforcement learningMotion planningArtificial intelligencePath (computing)ReinforcementHuman–computer interactionMachine learningRobotComputer network

Related papers

Browse all PERCEPTION papers