史克威爾艾尼克斯集團 #科技推進部 首席 AI 研究員三宅陽一郎發表論文「於大規模數位遊戲導入人工智慧的一般體系 - 基於 FINAL FANTASY XV 的實例」。
該論文獲得社團法人人工智慧學會頒授「2020 年度人工智慧學會論文賞(JSAI Best Paper Award 2020)」。
學會認為該論文對於遊戲 AI 發展來說具有里程碑意義,有興趣的可至以下網址閱讀。
・URL
https://www.jstage.jst.go.jp/article/tjsai/35/2/35_B-J64/_article/-char/ja/
■三宅陽一郎氏
史克威爾艾尼克斯科技推進步首席 AI 研究員
史克威爾艾尼克斯 AI & Arts&Alchemy 取締役 CTO
東京大學工學博士及日本數位遊戲學會理事等。
-- 概述(假裝自己看的懂) - -
A game AI general theory has been researched and developed in game industry in the world, and a new game AI general theory of AI in digital game is supposed with three AIs. For a large scale of game, a game AI system consists of three types of AI such as meta-AI, character AI, and navigation AI. A meta-AI is to control a game dynamically from a bird-view by watching a player’s behavior. A character AI is a brain of a game character such as a buddy, a monster, or a villager to make a decision in real-time. A navigation AI is to recognize an environment of a game to find a path or a best location to move dynamically. Especially, character AI is a main topic to study in game development, and it includes many fields such as multi-layered structure, character animation, agent architecture, decision-making modules, and so on. A new method of decision-making of combination of behavior trees and state machines is supposed. It is called AI Graph. The game AI general theory was applied to an AI system of an action-RPG game “FINAL FANTASY XV”. The results are showed in the paper. All characters’ decision-making system in FINAL FANTASY XV are based on AI Graphs. An AI Graph Editor is a tool to make an AI Graph only by using a mouse and simple text inputs. A dynamics of the new method is showed by explaining AI Graph Editor precisely.
「decision trees」的推薦目錄:
decision trees 在 吳雨霏 Kary Ng Facebook 的最佳解答
In the summer of 2011, we took a trip to LA for 2 weeks and during that trip, we went to visit my aunt that lives in Rancho Palos. She showed us around and on the way back home, we passed by this beautiful glass chapel. When we arrived, I was so mesmerised by it- it was a very small chapel that could probably fit in no more than 20 people. Sunlight shined through the glass, making the chapel very bright and magical. Outside of the chapel was a small garden with tall trees surrounding it. It was probably the first time it ever crossed my mind that I want to get married here. My aunt and uncle joked that we can get married here and even forced us to take a photo (swipe left)... well, I guess they were right! 6 years ago we came back here with our immediate family to sign papers.
It was the best decision of my life to have you as my husband. Let’s continue to GROW and do life together.
Happy 6th Anniversary my love! ❤️
decision trees 在 軟體開發學習資訊分享 Facebook 的最讚貼文
--課程已於 2020 年 11 月更新--
課程說明
機器學習是高需求的技能之一。 數據是新石油。
然而,學習 ML 然後進一步佈署一直很困難。 Azure ML 是 Microsoft 對機器學習進行民主化的一種方式。
Azure 機器學習(AzureML)被認為是遊戲規則變革者。 Azure 機器學習工作室 ( Azure Machine Learning Studio ) 是學習建構高級模型的好工具,無需寫一行程式碼,只要簡單地拖放即可編輯。
這個課程的設計是考慮到入門級的資料科學家,或者沒有程式設計或資料科學的背景的任何人。 本課程還將幫助資料科學家學習 AzureML 工具。 如果你已經熟悉機器學習的概念或基本知識,你可以跳過一些最初的講座或者以2倍的速度走過課程。
課程非常實用,你將能夠運用下列知識開發自己的高級模型
✅邏輯迴歸 ( Logistic Regression )
✅決策樹 ( Decision Trees )
✅線性迴歸 ( Linear Regression )
✅支持向量機 ( SVM : Support Vector Machine)
✅更多
不用任何程式設計。 而且,你將能夠將這些模型佈署為 Web 服務。
本課程是一門完整的機器學習課程,涵蓋基礎知識。 我們不僅要建立模型,還要解釋所有這些模型的各種參數以及我們可以在哪些方面應用它們。
在這個過程中,我們將從機器學習中經常使用的一些基本術語開始。
我也會解釋:
✅什麼是機器學習和一些現實世界的例子。
✅Azure 機器學習介紹
✅提供 Azure 機器學習工作室和高級體系結構的概述。
我們也將看看
✅建立 ML 模型的步驟
✅有監督和無監督學習
✅了解數據和預處理
✅不同的模型類型
✅AzureML 備忘清單 ( Cheat Sheet )
✅如何使用分類和迴歸
✅什麼是群聚或群聚分析
✅使用 AzureML 最強大的推薦引擎創建推薦系統
https://softnshare.com/machine-learning-using-azureml/
decision trees 在 alvinwan/neural-backed-decision-trees - GitHub 的推薦與評價
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet - GitHub - alvinwan/neural-backed-decision-trees: ... ... <看更多>
decision trees 在 5.4 Decision Tree | Interpretable Machine Learning 的推薦與評價
Decision trees are very interpretable – as long as they are short. The number of terminal nodes increases quickly with depth. The more terminal nodes and the ... ... <看更多>