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2022/FA22/intro-ai-series/workshop-3-reinforcement-learning/README.md

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@@ -111,12 +111,14 @@ Q4 - Deep Q-Learning
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```bash
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intro-ai-series
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| -- figures
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| -- DefaultW1_Header_Dark.png
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| -- DefaultW1_Header_Light.png
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| -- W3_Header_Dark.png
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| -- W3_Header_Light.png
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| -- src
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| -- multiAgents.py # implement the algorithms
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| -- pacman.py # main file that runs pacman games
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| -- util.py # useful utility function with data structures for implementing algorithms (optional o use)
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| -- gridworld.py # gridworld env
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| -- crawler.py # crawler env
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| -- pacman.py # pacman env
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| -- valueIterationAgents.py # implementation of value iteration algorithm
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| -- qlearningAgents.py # implementation of q-learning algorithm
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| -- autograder.py # run this for determining the correctness of code
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| -- README.md
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```

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