April 2022
Intermediate to advanced
376 pages
4h 55m
Japanese
Content preview from ゼロから作るDeep Learning ❹ ―強化学習編
![q_{\pi}(s, a) = \mathbb{E}_{\pi}[G|s, a]](/api/v2/epubs/urn:orm:book:9784873119755/files/images/_review_math/_gen_e469b43cb5f047ccfe72b531201f1506c00465b1d8a7c98a42ddd6f35dafed43.svg)
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付録A方策オフ型のモンテカルロ法
ここでは、方策オフ型のモンテカルロ法について説明します。まずは方策オフ型のモンテカルロ法について、その理論を説明します。続いて「3×4のグリッドワールド」のタスクに対して、方策オフ型のモンテカルロ法を実装します。なお本付録は5章の続きとして読む内容になっています。
A.1 方策オフ型のモンテカルロ法の理論
ここでは、強化学習の問題に対して重点サンプリングを適用します。まずは、方策オン型のモンテカルロ法について復習します。私たちの目標は、次の式で定義されるQ関数をモンテカルロ法で近似することです。
は、状態
、行動
からスタートして、その後は方策に従って行動したときに得られる収益の期待値を表します。モンテカルロ法を使ってQ関数を近似するには、方策で行動し、そこで得られた収益を平均します。たとえば、収益のサンプルデータを ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.