深層学習:Deep Learning

機械学習:Machine Learning

Machine Learning Professional Series “Theory and Algorithms for Bandit Problems” Reading notes

Machine Learning Professional Series "Theory and Algorithms for Bandit Problems" Reading notes The Bandit Proble...
2022.05.28
機械学習:Machine Learning深層学習:Deep Learning
Stream Data Processing

Protected: Simulation, Data Assimilation, and Emulation

Fusion of extrapolation (deduction) estimation using simulation and interpolation (induction) estimation using machine learning (simulation assimilation and emulation using DNN, etc.) for digital transformation, artificial intelligence and machine learning tasks
2022.05.25
Stream Data Processingアルゴリズム:Algorithmsグラフ理論シミュレーション強化学習微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra
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
2022.02.07
オンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics
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.
2022.02.03
オンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics
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.
2022.02.02
オンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics
オンライン学習

Protected: Reinforcement Learning with Function Approximation (3) – Function Approximation for Policy Functions

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2022.01.31
オンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics
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.
2022.01.28
オンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics
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...
2022.01.23
アルゴリズム:Algorithms機械学習:Machine Learning深層学習:Deep Learning
最適化:Optimization

Machine Learning Professional Series Sparsity-Based Machine Learning Reading Notes

Overview of sparse modeling used for regularization and other applications in machine learning for digital transformation , artificial intelligence , and machine learning tasks.
2022.01.15
最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
オンライン学習

Protected: Advanced online learning (4) Application to deep learning (AdaGrad, RMSprop, ADADELTA, vSGD)

Application to online learning in AdaGrad, RMSprop, and vSGD used for digital transformation , artificial intelligence , and machine learning tasks.
2022.01.13
オンライン学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics
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