首页|Findings from Hunan University Broaden Understanding of Robotics (A Fast Online Planning Under Partial Observability Using Information Entropy Rewards)
Findings from Hunan University Broaden Understanding of Robotics (A Fast Online Planning Under Partial Observability Using Information Entropy Rewards)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news reporting out of Changsha, People's Republic of China, by NewsRx editors, research stated, “Motion planning in an unknown environment is a common challenge because of the existing uncertainties. Representatively, the p artially observable Markov decision process (POMDP) is a general mathematical fr amework for planning in uncertain environments.”
ChangshaPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsHunan University