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Homework 4: Swamp

EE466000 introduction to reinforcement learning
Homework 4: Swamp

Goal
• The goal of this homework is to practice Monte Carlo control
Todo
 Implement an environment:
 Refer to HW2
 Implement Monte Carlo control algorithm
Details
 File description
o HW4.ipynb: You’ll implement an environment in the file.
 Gridworld environment
Requirements and Installation
 Python version: 3.6
 pip install matplotlib
 pip install numpy
Report
 Title, name, student ID
 Implementation
 Briefly describe your implementation.
 Experiments and Analysis
 Plot returns of the algorithm.
 Plot tables of the algorithm. (if possible)
 Whether q_values are reasonable?
Reminder
 Please upload your code main.py and report.pdf to iLMS before 4/27 (Tue.) 23:59. No late
submission allowed.
 DO NOT zip your code into a single file.
 Please do not copy&paste the code from your classmates.
 Please write a README file to explain how to run your code if you implemented extra
functions. 

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