web技術:web technology

ISWC2013 Papers

ISWC2013 Papers From ISWC2013, an international conference on Semantic Web technology, one of the artificial i...
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.
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