berkeley-cs188-artificial-intelligence
👻 Solutions for the course "CS188: Artificial Intelligence" of University of California, Berkeley.ï¼ˆåŠ å·žå¤§å¦ä¼¯å…‹åˆ©åˆ†æ ¡ã€ŠCS188:人工智能》的课程作业。)
https://github.com/zhuagenborn/berkeley-cs188-artificial-intelligence
Science Score: 44.0%
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👻 Solutions for the course "CS188: Artificial Intelligence" of University of California, Berkeley.ï¼ˆåŠ å·žå¤§å¦ä¼¯å…‹åˆ©åˆ†æ ¡ã€ŠCS188:人工智能》的课程作业。)
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README.md
"CS188: Artificial Intelligence" Projects of University of California, Berkeley
Introduction

This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings. Your agents will draw inferences in uncertain environments and optimize actions for arbitrary reward structures.
Course Website
https://inst.eecs.berkeley.edu/~cs188/sp20
Owner
- Name: Zhuagenborn
- Login: Zhuagenborn
- Kind: organization
- Location: Ireland
- Repositories: 3
- Profile: https://github.com/Zhuagenborn
Software Development | Artificial Intelligence | Reverse Engineering.
Citation (CITATION.cff)
cff-version: 1.2.0 authors: - family-names: Chen given-names: Zhenshuo orcid: https://orcid.org/0000-0003-2091-4160 - family-names: Liu given-names: Guowen orcid: https://orcid.org/0000-0002-8375-5729 title: CS188 Artificial Intelligence, University of California, Berkeley date-released: 2022-02-24 url: https://github.com/Zhuagenborn/Berkeley-CS188-Artificial-Intelligence
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