オンライン学習 Protected: Reinforcement Learning with Function Approximation (3) – Function Approximation for Policy Functions
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2022-01
オンライン学習 web技術:web technology ISWC2012 Papers
ISWC2012 Papers
From ISWC2012, an international conference on Semantic Web technology, one of the artificial i...
Symbolic Logic ISWC2011 Papers
ISWC2011 Papers
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オンライン学習 Protected: Reinforcement Learning with Function Approximation (2) – Function Approximation of Value Functions (For Online Learning)
Theory of function approximation online methods gradient TD learning, least-squares based least-squares TD learning (LSTD), GTD2)for reinforcement learning with a huge number of states used in digital transformation , artificial intelligence , and machine learning tasks, and regularization with LASSO.
オントロジー Ontology-based failure diagnosis systems, fleet case reuse and integration with AI technology
Fleet case, fault diagnosis system and ontology
Fleet Case is a system for companies that own multiple devic...
強化学習 Protected: Reinforcement Learning with Function Approximation (1) – Function Approximation of Value Functions (Batch Learning Case)
Function approximation in the case of batch learning of value functions to deal with a huge number of states in reinforcement learning for digital transformation, artificial intelligence, and machine learning tasks.
推論技術:inference Technology Protected: Modeling of time series and spatial data (1)(Dynamic linear model)
Bayesian modeling of temporal and spatial models with a focus on dynamic linear models and evaluation using MCMC
web技術:web technology Workflow & Services Technologies
About Workflow & Services Technologies
Workflow and service technology play an important role in busin...
IOT技術:IOT Technology Protected: Model-based reinforcement learning(Sparse sampling, UCT, Monte Carlo search tree)
Model-based reinforcement learning (sparse sampling, UCT, Monte Carlo search trees) used for digital transformation artificial intelligence , and machine learning tasks.
アルゴリズム:Algorithms Machine Learning Professional Series Bayesian Deep Learning Reading Notes
Machine Learning Professional Series Bayesian Deep Learning Reading Notes
Writing a reading note from "Bayesi...