机译:动态环境中优先扫描的增量强化学习
Nanjing Univ, Dept Control & Syst Engn, Nanjing 210093, Jiangsu, Peoples R China|City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R China;
Nanjing Univ, Dept Control & Syst Engn, Nanjing 210093, Jiangsu, Peoples R China;
City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R China|Cent S Univ, State Key Lab High Performance Complex Mfg, Changsha 410083, Hunan, Peoples R China;
Univ New South Wales, Sch Engn & Informat Technol, Canberra, ACT 2600, Australia;
Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA;
Dynamic environments; environment drift; incremental reinforcement learning (IRL); intelligent ware-houses; prioritized sweeping;
机译:用于动态环境优先扫描的增量强化学习
机译:历时增量动态学习和优先扫描算法
机译:基于混合加固学习的混合动力电动汽车的能源管理,落后聚焦和优先扫描
机译:基于优先扫描强化学习的无人机变形策略设计
机译:在多主体和分布式环境中研究相互联系的动力系统和强化学习。
机译:基于深度强化学习的未知动态环境中的导航
机译:优先清扫:用更少的数据和更少的时间进行强化学习