Ceng 491 - Project Kickoff Document Template

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CEng 491 -- Project KickOff Document Template
“MasteRookie Player” KickOff Document
Description
“MasteRookie Player” project has been proposed to create an AI to play 2d games which
have partially or fully observable deterministic, dynamic, episodic, single-agent environments .
Generally, these kind of products are based on a predefined logic when choosing the correct moves
in the game. In contrast, our product will minimize this and will learn to play itself. The product
could serve as an automation for time-consuming tasks for people or for experimentation with
games.
Work Packages (Master feature list)
# WP
Term
WP Title
Estimated # of
man-months
1
491
Research on ML basics, implementations, literature search
4
and tool and specifying game types to work on.
2
491
Supervised learning algorithm implementations,neural
4
networks and deep learning on selected game types.
3
491
First comprehensive player agent for (pacman,flappy
8
bird,mario etc.) implemented with supervised learning
algorithms for mid-term and final demo.
4
492
Research on Reinforcement learning, Deep Reinforcement
4
learning and implementations.
5
492
Integrating supervised learning and reinforcement learning
4
and implementation on a selected game.
6
492
Improving and integrating proper learning algorithms,
4
environment and APIs for the final product.
7
492
Final game agent development and testing on 1-2 games.
8
Bonus 492
Agent for strategy game(s).
Bonus 492
Agent for multi-agent game(s).
1

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