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Codes for CS326 Artificial Intelligence Assignments

cs362-naagraaj 최신버젼 다운로드

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# CS362 Naagraaj

This repository codes submitted for CS326 Assignments

## Team Members

-   Aditya Prakash (201851008)
-   Anuj Puri (201851025)
-   Ashutosh Singh (201851029)
-   Pushkar Patel (201851094)
-   Yash Shah (201851150)

All the codes and their respective links have been submitted in the submission report itself, but to compile everything at one place, we made this repo.

## Experiments

1. [Lab Assignment 1: Graph Search Agent for 8-Puzzle](/lab1/)
2. [Lab Assignment 3: TSP using Simulated Annealing](/lab3/)
3. [Lab Assignment 4: Game Playing Agent | Minimax| Alpha-Beta Pruning](/lab4/)
4. [Lab Assignment 5: Building Bayesian Networks in R](/lab5/)
5. [Lab Assignment 6: Hidden Markov Model and Expectation Maximization algorithm](/lab6/)
6. [Lab Assignment 7: Markov Random Field and Hopfield Network](/lab7/)
7. [Lab Assignment 8: MENACE](/lab8/)
8. [Lab Assignment 9: n-arm bandit](/lab9/)

## Additional Drive and Colab links to codes and graphs:

1. [Colab Notebook for Graph Search Agent for 8-Puzzle](https://colab.research.google.com/drive/1T85Pey47g58dbvTXzaLoVjob6RLBtMXO?usp=sharing)
2. [Drive folder for Graphs and Colab Notebook for TSP with Simulated Annealing](https://drive.google.com/drive/folders/1cnR8LQSqv7LrdPGZ8_GOCd3Ev5H_2hrp?usp=sharing)
3. [Colab Notebook for Game Playing Agent |Minimax | Alpha-Beta Pruning](https://drive.google.com/file/d/1zjYPSTla1ukKkOGmYtYtefjP61IxBYM4/view)
4. [Drive folder for Graphs and R Markdown file for Building Bayesian Networks in R](https://drive.google.com/drive/u/1/folders/1CqhhDv66v_5UbQw9uPqTbultB9fuh313)
5. [Drive folder for Colab Notebook for HMM and EM algorithm](https://drive.google.com/drive/folders/1Olr1EmtWQXLfR5CYTmBYGDUy-8BcrBT5?usp=sharing)
6. [Colab Notebook for Markov Random Field and Hopfield Network](https://colab.research.google.com/drive/1s04Wl6uIfBd3UkOcBO31IuPh0LGUMTm7?usp=sharing)
7. [Colab Notebook for MENACE](https://colab.research.google.com/drive/1Spq0F5NP4pigkbrjnrgohY7sYyWkbQ42?usp=sharing)
8. [Colab Notebook for n-arm bandit](https://colab.research.google.com/drive/1zHk9bEls6V614afUbo49oIGxbS6eprnv?usp=sharing)

## Some General Notes

-   Preferably use [Jupyter Lab](http://jupyterlab.io/) to open the notebooks locally.
-   To open it as an excutable in [Google Colab](https://colab.research.google.com/), refer [here](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb#scrollTo=Rmai0dD30XzL).

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