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CS 302/ 633 Artificial Intelligence
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Winter 2021-22
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Link to Notes
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Codes Repositoryhttps://github.com/pratikiiitv/cs302
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https://github.com/pratikiiitv/graphicalmodels
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Lab Manual
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Previous Videoshttps://drive.google.com/drive/folders/1bLlwEgwPO1UXTsurIUTSNISpCOaXAGGC?usp=sharing
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LectureDateTopics CoveredLink to VideoDuration (Minutes)ReferencesAdditional Resources
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117/01/2022Introduction https://drive.google.com/file/d/1_O-p9xKLppYXAltyT-Yd3tM7gtKaS-81/view?usp=sharing56RN, DKL3.0, GEB, MA
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https://drive.google.com/file/d/1SQAn-2eaCqSQGrDQkSh8xSXPIJjTJ3SS/view?usp=sharing53
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218/01/2022State Space Search - I (Infrastructure)https://drive.google.com/file/d/19js7Wr_7hk6nz_4eoao6KFkpL_92C0Wu/view?usp=sharing61RN, DK
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https://drive.google.com/file/d/1di7Qy-JtT_v_CaTxZvpN2bVEmB-a7usn/view?usp=sharing47
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320/01/2022State Space Search - II (Uninformed)https://drive.google.com/file/d/1c8JOI1ZIEyyBuUQOlZSmUqjPDI6kA2zF/view?usp=sharing56RN, DK
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https://drive.google.com/file/d/1WFWqyQJSqZ8rqQoax4mVOcRvz574krwj/view?usp=sharing60
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424/01/2022State Space Search - III (Uninformed, Informed)https://drive.google.com/file/d/1cZBmAmM_KcRHn67lRbXrYyh6k19oG4yO/view?usp=sharing51RN, DK
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https://drive.google.com/file/d/19m8oYzXc2WExZt7veJrmW8EuXZXQbypA/view?usp=sharing43
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525/01/2022State Space Search - IV (Informed)https://drive.google.com/file/d/16gtQwEt6kfCBdhVGYB9dxxKkUP1suWnr/view?usp=sharing50RN, DK
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https://drive.google.com/file/d/1gNwPrt9MdoO2lkWzN0eJfmLzsvztKp8J/view?usp=sharing53
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627/01/2022State Space Search - V (Informed, Optimality of A*, Heuristic design) 56RN, DKhttps://www.sfu.ca/~jtmulhol/math302/notes/permutation-puzzles-book.pdf
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https://drive.google.com/file/d/10iI_1kRuvk1-KZ9VcwnbQ5xuweaXsHkP/view?usp=sharing50
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731/1/2022Simulated Annealing - Ihttps://drive.google.com/file/d/18037rOaZHUuh7SKDK5mbwIQDNBl0CSRc/view?usp=sharing57RN, DKSimulated annealing: From basics to applications Daniel Delahaye, Supatcha Chaimatanan, Marcel Mongeau
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https://drive.google.com/file/d/1pLqMGECf3n8rxllKfDdgv-0ORJycbxzE/view?usp=sharing41
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81/2/2022Simulated Annealing - IIhttps://drive.google.com/file/d/1QGUqUm4KU73TeooOx4F2BabwhJJubhiE/view?usp=sharing47RN, DK, +Refhttps://hal-enac.archives-ouvertes.fr/hal-01887543/document
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https://drive.google.com/file/d/1uvPED9nRqAqy3r5FWVeS-Dhx0iFdvayb/view?usp=sharing50
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93/2/2022MCMC and Genetic Algorithm (Left as an exercise, read reference)https://drive.google.com/file/d/1MEMxlZXJKYqGcmVlIxV1oRbpf2Z7Yp0j/view?usp=sharing56RN, DK, +Ref1) https://math.uchicago.edu/~shmuel/Network-course-readings/MCMCRev.pdf, 2) https://www.cs.jhu.edu/~ayuille/courses/Stat202C-Spring10/ga_tutorial.pdf
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https://drive.google.com/file/d/1H1lqEZkVvua0DY7tnqZgwSP5opxOcIL4/view?usp=sharing43
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107/2/2022Adversarial Search - I (Game Playing and Value Backup, Minimax)https://drive.google.com/file/d/1QwWbUyXR3j02LBr-ps82By_IyY_jc6lH/view?usp=sharing56RN, DK
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https://drive.google.com/file/d/1Ui0U4Z4vVZoHs5-v6HLKPd3f_7EXvizH/view?usp=sharing48
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118/2/2022Adversarial Search - II (Alpha-Beta Pruning)https://drive.google.com/file/d/1sh4fYjU0c0ARk9MBf8N13txB260uuv37/view?usp=sharing50RN, DK
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https://drive.google.com/file/d/1ue5DK6UGzWWd2EgnF4RNk7lcHOkYbHn6/view?usp=sharing50
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1210/2/2022Adversarial Search - IIIhttps://drive.google.com/file/d/1gYzLWvEkFUA--JlKg-6tj_MeILV0t8RT/view?usp=sharing53RN, DK
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https://drive.google.com/file/d/1tfYvhO4-Y3vbUCoaFP5etQedL7X0ZThj/view?usp=sharing41
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1314/2/2022Revisiting Probabilistic Inference (PPL) - Ihttps://drive.google.com/file/d/1gBx5LtKVNE6PcKqTwItB0J16WFtv8PEy/view?usp=sharing57RN, DK + Refwebppl.org
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https://drive.google.com/file/d/11jT0wxsKiOLbvBAcTlLJrpRqW1VG7QgO/view?usp=sharing49
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1415/2/2022Revisiting Probabilistic Inference (PPL) - IIhttps://drive.google.com/file/d/15U5wOjtkO_oJ5WTeiUUmxfedv1GGgEfR/view?usp=sharing40RN, DK + Ref
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https://drive.google.com/file/d/1nW6KKS-Hbak8zWcuHuXqjow7T0EbAJG9/view?usp=sharing56
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1517/2/2022Graphical Models - I (DGM)https://drive.google.com/file/d/1mfJzimI7_3vjUrWqO8rixIZ1EvZB2zI9/view?usp=sharing52RN, DK + Ref(1) http://web.mit.edu/jmn/www/6.034/d-separation.pdf (2) https://ftp.cs.ucla.edu/pub/stat_ser/r116.pdf (3) https://www.bnlearn.com/about/teaching/slides-bnshort.pdf (4) https://gauss.inf.um.es/umur/xjurponencias/talleres/J3.pdf (5) Bayesian Networks and Decision Graphs by Jensen and Nielsen (6) Markov Random Fields and Images, Patrick Perez https://ptrckprz.github.io/files/1998_PerezCWIQ11(4).pdf
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https://drive.google.com/file/d/1mmoD76wl2FzhRL0DhpA5FW2RLUru_ekV/view?usp=sharing46
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1621/2/2022Graphical Models - II (DGM)https://drive.google.com/file/d/1zvxrQiTRCE8ZdDYILZuaXWvZwnMUwTyd/view?usp=sharing57RN, DK + Ref
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https://drive.google.com/file/d/15kaSgQ-jLqZMUeFIfyDaJPbNaD1olItl/view?usp=sharing58
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1722/2/2022Graphical Models - III (UGM)https://drive.google.com/file/d/1WRlGsNYsaGBdNXtQMGyNgpdi6-5F-LI2/view?usp=sharing47RN, DK + Ref
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https://drive.google.com/file/d/1u5czXBLDNsWZetwNSE3Tbn-mujjJt7RQ/view?usp=sharing51
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1824/2/2022Graphical Models - IV (UGM)https://drive.google.com/file/d/1YaRfeYuaeVAuaqBkXs7M7fPKzLsTFqIf/view?usp=sharing54RN, DK + Ref
(1) https://www.cise.ufl.edu/~anand/pdf/bookchap.pdf (2) https://engineering.purdue.edu/~bouman/publications/tutorials/mrf_tutorial/view.pdf
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https://drive.google.com/file/d/1_AWivR0ZOWyc-yONSKTs1c-V1IW0TwwB/view?usp=sharing42
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1928/2/2022Hidden Markov Model - Ihttps://drive.google.com/file/d/1BNGrWjFWDWEUqe5wGUX_ng6WzwtBEdfJ/view?usp=sharing55RN, DK + Ref
(1) A Revealing Introduction to HMM, Mark Stamp (2018) (2) A Tutorial on HMM, Rabiner
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https://drive.google.com/file/d/1giaHNUrI4Kny6uwPZhF6GM3Qy43bx20D/view?usp=sharing40
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201/3/2022Hidden Markov Model - II https://drive.google.com/file/d/11b_pwHVuKQLMH_tYC0lxCv_zzqEeNC88/view?usp=sharing45RN, DK + Ref
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https://drive.google.com/file/d/1dvbEAY-tJVj9jlxHDSuLlQp-MMUP3bgR/view?usp=sharing52
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213/3/2022Hidden Markov Model - III (Forward Backward)https://drive.google.com/file/d/1fgWESTKT2AwxqrjbxvoSQslVGHszrIfa/view?usp=sharing47RN, DK + Ref
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https://drive.google.com/file/d/1As-AAaF5z9aL4HmzRM3_Jy8Jo8bVo7eI/view?usp=sharing38
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2214/3/2022Expectation Maximizationhttps://drive.google.com/file/d/1H6jxrp7Ps6cZ2soSbnMr_kRWc0XXIvl6/view?usp=sharing
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2315/3/2022Expectation Maximizationhttps://drive.google.com/file/d/164n-nb5Qc4K7d0QRcmOYw8LbA3fd9o_g/view?usp=sharing
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2417/3/2022HMM Learning - Baum Welch Algorithmhttps://drive.google.com/file/d/1gvEBaVINQA7lCCjp4kqaikT9x3H8w563/view?usp=sharing
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25n-arm Bandit
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26Markov Decision Process - I
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27Markov Decision Process - II (Value Function)
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28Markov Decision Process - III (Action Value Function)
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29Reinforcement Learning Agent
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30Reinforcement Learning Agent
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31Game Theory - I
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32Game Theory - II
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33Game Theory - III
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34Game Theory - IV
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35Game Theory - V
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