reinforcement learning (RL)
強化学習
Definition 定義
A type of machine learning in which an agent learns to choose actions by trial and error so as to maximize cumulative reward from its environment.
Example 例文
Reinforcement learning was used to train a robot arm to grasp objects of different shapes.
日本語訳を表示
さまざまな形状の物体をつかむようロボットアームを訓練するために、強化学習を用いた。
Collocations よく使う組み合わせ
- deep ~
- ~ agent
- learn by ~
- ~ algorithm
「~」の部分に reinforcement learning が入ります。