#journalofautomaticasinica search results
According to a new #IEEECAA #JournalofAutomaticaSinica study, a novel #Safe #QLearning approach is suitable for #DataDriven nonlinear optimal control with asymmetric #StateConstraints. Learn more here: ow.ly/flln50UOkH2
A recent #IEEECAA #JournalofAutomaticaSinica article proposes a distributed adaptive second-order #LatentFactor #Analysis model, solving the problem of high-dimensional and incomplete #DataRepresentation. Visit: ow.ly/EjTU50UAWgj
A new #IEEECAA #JournalofAutomaticaSinica paper demonstrates prediction-based #StateEstimation and #CompensationControl for #NetworkedSystems which have #CommunicationConstraints and #DenialOfService #Attacks: ow.ly/pISN50UAWPl
According to the latest #IEEECAA #JournalofAutomaticaSinica article, a #LinearProgramming based #ReinforcementLearning mechanism is highly promising for #IncompleteInformation #Games. Learn more: ow.ly/3jxT50UAWbc
The recent #IEEECAA #JournalofAutomaticaSinica study demonstrates the #Controllability of #MultiRelational #Networks With #Heterogeneous #Dynamical #Nodes. For further information, check out this link: ow.ly/H77G50UAWwu
Scientists, in a #IEEECAA #JournalofAutomaticaSinica paper, present #MultiView #Dynamic #Kernelized #EvidentialClustering approach, achieving higher #Efficiency and outdoing current methods in #Performance: ow.ly/yLOT50UysYL
In an innovative #IEEECAA #JournalofAutomaticaSinica article, scientists integrate #InventoryMonitoring and #CapacityChanges in #DynamicSupplyChains with bidirectional cascading propagation effects: ow.ly/vaf450UAXtE
A new #IEEECAA #JournalofAutomaticaSinica paper discusses a novel #Probabilistic #Automata based method to enhance the #Performance of #DeepReinforcementLearning systems. Explore the research further here: ow.ly/fHAe50UAW7e
The latest #IEEECAA #JournalofAutomaticaSinica review explores the definition, modeling, analysis, evaluation, and control for #FrequencyStability in #LowInertia #PowerSystems. For further details, visit: ow.ly/1Lea50UAX6s
The latest #IEEECAA #JournalofAutomaticaSinica research study achieves multi--unmanned surface vehicle formation #CollisionAvoidance using #DeepReinforcementLearning and #InternationalRegulations for preventing collisions at #Sea: ow.ly/yQzr50UAWH0
According to a new #IEEECAA #JournalofAutomaticaSinica paper, a novel and robust #Offline #ActorCritic with on-policy regularized #PolicyEvaluation significantly outperforms state-of-the-art alternatives: ow.ly/AYcN50UAX1t
The latest #IEEECAA #JournalofAutomaticaSinica research study achieves multi--unmanned surface vehicle formation #CollisionAvoidance using #DeepReinforcementLearning and #InternationalRegulations for preventing collisions at #Sea: ow.ly/yQzr50UAWH0
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