オンライン学習 Protected: Online convex optimization (3) exp concavity and ONS
Convex optimization for online prediction for digital transformation , artificial intelligence , and machine learning tasks (the case of exp concavity and ONS).
人工知能:Artificial Intelligence
オンライン学習 オンライン学習 Protected: Online Convex Optimization (2) Complementing FTL Strategies with Regularization
Complementing the FTL strategy by introducing regularization techniques (L2 norm) in online prediction for digital transformation , artificial intelligence , and machine learning tasks.
オンライン学習 Protected: Online Convex Optimization(1) FTL strategy and BTL supplement
Online Convex Optimization and FTL Strategies with Online Prediction for Digital Transformation , Artificial Intelligence , and Machine Learning Tasks with BTL Supplement
オンライン学習 Protected: New Developments in Reinforcement Learning (2) – Approaches Using Deep Learning
On seven methods for improving deep reinforcement learning used in digital transformation , artificial intelligence , and machine learning tasks (first generation DQN, dual Q learning (dual DQN method), prioritized experience replay, collision Q networks, distributed reinforcement learning (categorical DQN method) noise networks, n-step cutting returns) and alpha zero
life tips Zen thought and history, Mahayana Buddhism, Taoist thought, Christianity
Zen thought and history, Mahayana Buddhism, Taoist thought, Christianity
Zen thought and history, Mahayana Bud...
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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