https://github.com/research-camp/berkeley-ai-course
Notes that we took from Berkely University AI course.
https://github.com/research-camp/berkeley-ai-course
ai ai-courses artificial-intelligence berkeley-ai mdp rl
Last synced: over 1 year ago
JSON representation
Notes that we took from Berkely University AI course.
- Host: GitHub
- URL: https://github.com/research-camp/berkeley-ai-course
- Owner: research-camp
- License: gpl-3.0
- Created: 2022-03-26T08:01:15.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-12-22T16:52:53.000Z (over 2 years ago)
- Last Synced: 2025-01-10T00:06:24.382Z (over 1 year ago)
- Topics: ai, ai-courses, artificial-intelligence, berkeley-ai, mdp, rl
- Language: TeX
- Homepage:
- Size: 103 KB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Berkeley AI Course
Notes that we took from Berkeley University AI course. Berkeley Unversity presents a course about basic artificial intelligence. In this course
you will learn what is an Agent? How does an Agent work? Why do we need an Agent?
After that you will get to Agent features like searching, staisfication and adversial searching.
In the last chapters, you will study about probabilities in real world and their effect on desigin an Agent.
## chapters
- Introduction
- Searching
- A Star
- Constraint Satisfication
- Adversial Searching
- MDP
- RL
## collaborators
- Sajjad Ranjbar Yazdi (Ferdowsi University of Mashhad)
- Asal Delkhosh (Amirkabir University of Technology)