首页|Recent Findings from Chinese Academy of Sciences Provides New@@Insights into Robo tics (Mitigating Catastrophic Forgetting In Robot@@Continual Learning: a Guided P olicy Search Approach Enhanced@@With Memory-aware Synapses)
Recent Findings from Chinese Academy of Sciences Provides New@@Insights into Robo tics (Mitigating Catastrophic Forgetting In Robot@@Continual Learning: a Guided P olicy Search Approach Enhanced@@With Memory-aware Synapses)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingout of Shenyang, People’s Republic of China, by NewsRx editors, research stated, “Complex operationalscenarios inc reasingly demand that industrial robots sequentially resolve multiple interrelat ed problemsto accomplish complex operational tasks, necessitating robots to hav e the capacity for not only learningthrough interaction with the environment bu t also for continual learning. Current deep reinforcementlearning methods have demonstrated substantial prowess in enabling robots to learn individual simple operational skills.”
ShenyangPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRobotRoboticsChinese Academy of Sciences
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