regret

アルゴリズム:Algorithms

Protected: Overview and history of the banded problem and its relationship to reinforcement learning/online learning

Overview and history of bandit problems utilized in digital transformation, artificial intelligence, and machine learning tasks and their relationship to reinforcement learning online learning
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
推論技術:inference Technology

Protected: An overview of the expert integration problem in online forecasting and its implementation in Regret

Overview of online predictive learning for solving sequential prediction problems, introduction to Regret
Exit mobile version
タイトルとURLをコピーしました