Computational Model Library

Maze with Q-Learning NetLogo extension (version 1.0.0)

Submitted by: Kevin Kons Software Framework: NetLogo Programming Language: NetLogo
q-learning NetLogo

This is a re-implementation of a the NetLogo model Maze (ROOP, 2006).

This re-implementation makes use of the Q-Learning NetLogo Extension to implement the Q-Learning, which is done only with NetLogo native code in the original implementation.

maze.png

Release Notes

To use this model you just have to open it with NetLogo 6.1.0. You also should add the Q-Learning Extension to your NetLogo, this can be done through the NetLogo Extension Manager.

Cite this Model

Kevin Kons, Fernando Santos (2019, December 10). “Maze with Q-Learning NetLogo extension” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/2b1cc74e-7ddc-4caf-8cdc-876966a24c52/releases/1.0.0/

Replication of a previously described model

ROOP, J. Reinforcement Learning Maze. NetLogo User Community Models, 2006.
Aerospace Systems Design Laboratory (ASDL), Georgia Institute of Technology. Disponível
em: http://ccl.northwestern.edu/netlogo/models/community/Reinforcement%20Learning%20Maze.

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Contributors

Kevin Kons Fernando Santos

DOI

No assigned DOI

Model Version

1.0.0

License

MIT

Operating System

Operating System Independent

Programming Language

NetLogo

Dependencies

None listed

Publish Date

Tuesday, December 10, 2019

Last Updated

Tuesday, December 10, 2019

Downloads 119
Peer Review

Unreviewed

Version Submitter First published Last modified Status
1.0.0 Kevin Kons Tue Dec 10 03:04:10 2019 Tue Dec 10 03:04:10 2019 Published

Discussion

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