首页|Investigators at University of Georgia Report Findings in Robotics (Communicatio n-efficient Multi-robot Exploration Using Coveragebiased Distributed Q-learning )
Investigators at University of Georgia Report Findings in Robotics (Communicatio n-efficient Multi-robot Exploration Using Coveragebiased Distributed Q-learning )
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originating inAthens, Georgia, by NewsRx jo urnalists, research stated, “Frontier exploration and reinforcement learninghav e historically been used to solve the problem of enabling many mobile robots to autonomously andcooperatively explore complex surroundings. These methods need to keep an internal global map for navigation, but they do not consider the high costs of communication and information sharing betweenrobots.”
AthensGeorgiaUnited StatesNorth an d Central AmericaEmerging TechnologiesMachine LearningNano-robotReinforc ement LearningRobotRoboticsUniversity of Georgia
NETL
NSTL
