web技術:web technology ISWC2013 Papers
ISWC2013 Papers
From ISWC2013, an international conference on Semantic Web technology, one of the artificial i...
人工知能:Artificial Intelligence
web技術:web technology オンライン学習 Protected: New Developments in Reinforcement Learning (1) – Reinforcement Learning with Risk Indicators
Different approaches (regular process TD learning, RDPS methods) and implementations (Monte Carlo, analytical methods) in risk-aware reinforcement learning methods for digital transformation , artificial intelligence , and machine learning tasks.
オンライン学習 Protected: Partially Observed Markov Decision Processes (2) Planning POMDPs
Reinforcement learning for digital transformation , artificial intelligence , and machine learning tasks; obtaining optimal strategies using partial observation Markov decision process planning methods.
オンライン学習 Protected: Partially Observed Markov Decision Processes (1) On POMDPs and Belief MDPs
Belief MDPs, more flexible reinforcement learning using partially observed Markov decision processes (POMDPs) for digital transformation , artificial intelligence , and machine learning tasks.
オンライン学習 Protected: Reinforcement Learning with Function Approximation (3) – Function Approximation for Policy Functions
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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
From ISWC2011, an international conference on Semantic Web technology, one of the artificial i...
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.