オンライン学習 Protected: Reinforcement Learning with Function Approximation (3) – Function Approximation for Policy Functions
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数学:Mathematics
オンライン学習 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.
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
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.
グラフ理論 Structural Learning
Structural Learning
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Learning the structure that data has is important for interpreting what the data ...
微分積分:Calculus Machine Learning Professional Series “Continuous Optimization for Machine Learning” Reading Memo
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Continuous optimization in machine learning is a method for solving optimization problems in which varia...
IOT技術:IOT Technology Protected: Model-free reinforcement learning (2) – Method iteration (Q-learning, SARSA, Actor-click method)
Value iteration methods Q-learning, SARSA, Actor-critic methods to model-free reinforcement learning for digital transformation , artificial intelligence and machine learning tasks.
オンライン学習 Protected: Trade-off between exploration and utilization -Regret and stochastic optimal measures, heuristics
Reinforcement learning with regrets, stochastic optimal measures, and heuristics
IOT技術:IOT Technology Time series data analysis
Time Series Data Learning
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Time-series data is called data whose values change over time, such ...