Syllabus & Slides:

• Intro [slides]

• Problem Solving and Search Techniques [Uninformed, Informed, CSP, Adversarial]

• Knowledge Representation and Reasoning [Propositional, FOL]

• Reinforcement Learning [MDP, RL]

• Bayes Nets [slides] 

Entire slide collection in PPT format 

Codes & Notebooks:

• Search 

  • bfs, dfs, ids tree search visualization (code)

  • bfs, dfs graph search visualization 

  • CSP arc consistency for 4-queen visualizer

  • Hill Climbing n-queen [simple, sideways]

  • 4-queen using hill climbing visualization, travelling salesman using hill climbing (2-opt) visualization

  • Alpha-beta prunning visualization

  • Monte Carlo Tree search visualization for Tic-tac-toe

• Logic

  • Wumpus World navigation using SAT solver

Homeworks:

1. HW1 (deadline: 18 November)

2. HW2 (deadline: 6 December)

3. HW3 (deadline: 27 December)

Quizzes:

• Quiz 1 [solution] (Uninformed/informed search)

• Quiz 2 [solution] (CSP)

• Quiz 3 [solution] (Minimax)

• Quiz 4 [solution] (MDP)

• Quiz 5 [solution] (RL)

Code Clash League😎⚔️: 

• league 1 [starter code, description]

• Applied Reinforcement Learning Studio🔬🧪[starter code1, starter code2]

• Safe Driving with RL! 🛣️🚗[Starter codes]

Sample Problems with solutions:

• Search [Questions / Solutions]

• Propositional Logic

• FOL 

Exams:

• Spring 2025 with Solution

• Fall 2025 midterm (Solutions)

Previous-semester Homeworks 

• Spring 2025 [HW1 : solutions ,HW2 : solutions ,HW3 : solutions]