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All the recent amazing achievements in the field of artificial intelligence have been announced in the field of reinforcement learning. We have covered reinforcement learning technology, which is revolutionizing true artificial intelligence technology such as robots, autonomous driving technology, and human-like machines, from the basics to the advanced level, in an easy-to-understand way for beginners.

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지식공유자의 깜짝할인

From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient

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이론 실습 모두

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Reinforcement Learning(RL)

강화학습

파이썬

파이토치

最近、人工知能分野の驚くべき成果は、すべて強化学習分野で発表されています。  ロボット、自律走行技術、人間に似た機械など、真の人工知能技術の革新を遂げている強化学習技術を初心者の視線で分かりやすく基礎から高級レベルまで取り上げました。

YoungJea Oh

입문

초급

중급이상

Deep Learning(DL)

Python

PyTorch

強化学習入門からDeep Q-learning/Policy Gradientまで

教育環境の準備

強化学習 Overview

MDP(Markov Decision Process)

ポリシーと価値関数 (Policy & Value Function)

動的計画法(Dynamic Programming)

モンテカルロ法 (Monte Carlo Method)

時間差学習 (Temporal Difference Learning)

Deep Q-learningを使用した予測と更新

政策勾配 (Policy Gradient)

ポリシー勾配アルゴリズムの実装