Generating 2D Lego Compatible Puzzles Using Reinforcement Learning

Generating 2D Lego Compatible Puzzles Using Reinforcement Learning

We present a framework that generates a 2D Lego-compatible puzzle layout of greater than thousands pieces of bricks using a reinforcement learning technique. Many existing 2D legorization strategies have limitations in producing a Lego layout, which is composed of more than thousands of pieces. We a...

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Bibliographic Details
Main Authors: Cheolseong Park, Heekyung Yang, Kyungha Min
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Lego
reinforcement learning
deep Q-network
legorization
heuristic
Online Access:https://ieeexplore.ieee.org/document/9165736/

Internet

https://ieeexplore.ieee.org/document/9165736/

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