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uw-csep-573-wi19-artificial-intelligence's Introduction

CSE P 573 Introduction to Artificial Intelligence

Environment

Provisional grades from autograder.py

Questions Score
Question 1 - Finding a Fixed Food Dot using Depth First Search 3/3
Question 2 - Breadth First Search 3/3
Question 3 - Varying the Cost Function 3/3
Question 4 - A* search 3/3
Question 5 - Finding All the Corners 3/3
Question 6 - Corners Problem: Heuristic 3/3
Question 7 - Eating All The Dots 5/4
Question 8 - Suboptimal Search 3/3

Provisional grades from autograder.py

Questions Score
Question 1 - Reflex Agent 4/4
Question 2 - Minimax 5/5
Question 3 - Alpha-Beta Pruning 5/5
Question 4 - Expectimax 5/5
Question 5 - Evaluation Function 6/6

Provisional grades from autograder.py

Questions Score
Question 1 - Value Iteration 4/4
Question 2 - Bridge Crossing Analysis 1/1
Question 3 - Policies 5/5
Question 4 - RTDP Report & Output

Provisional grades from autograder.py

Questions Score
Question 6 - Q-Learning 4/4
Question 7 - Epsilon Greedy 2/2
Question 8 - Bridge Crossing Revisited 1/1
Question 9 - Q-Learning and Pacman 1/1
Question 10 - Approximate Q-Learning 3/3

Provisional grades from autograder.py

Questions Score
Question 0: DiscreteDistribution Class 23/23 Test Passed
Question 1: Observation Probability 2/2
Question 2: Exact Inference Observation 3/3
Question 3: Exact Inference with Time Elapse 3/3
Question 4: Exact Inference Full Test 2/2
Question 5: Approximate Inference Initialization and Beliefs 2/2
Question 6: Approximate Inference Observation 3/3
Question 7: Approximate Inference with Time Elapse 3/3
Question 8: Joint Particle Filter Observation 1/1
Question 9: Joint Particle Filter Observation 3/3
Question 10: Joint Particle Filter Time Elapse and Full Test 3/3
                 ALL HAIL GRANDPAC.
          LONG LIVE THE GHOSTBUSTING KING.

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Provisional grades from test.py

Questions Score
Question 1 - Understanding AEMS2 Report
Question 2 - Bridge 5/5
Question 3 - Bridge 3/3
Question 4 - Bridge 8/8
Question 5 - Playing with the time limit and heuristics Report & Output

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