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Enjoy Reinforcement Learning in Tic-Tac-Toe (2)

ishikari
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Android Version Icon2.1+
Version Android
1.0(30-07-2020)Dernière Version
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Description de Enjoy Reinforcement Learning in Tic-Tac-Toe (2)

The purpose of this app is to familiarize you with Reinforcement Learning (a type of artificial intelligence). This was created using MIT App Inventor. In particular, it takes advantage of the recently released Generic Event blocks.


As an example, we use Tic-Tac-Toe, a well-known and easy game. The main feature of this app is that you can adjust the strength of your opponent computer player according to the degree of reinforcement learning and enjoy the match.


The computer player learns the situation when it loses in the match, so it will become gradually stronger as the match is played many times. Please refer to the following document for details of usage.


https://sparse-dense.blogspot.com/2019/05/enjoy-reinforcement-learning-in-tic-tac.html


Enjoy Reinforcement Learning in Tic-Tac-Toe (2) - Version 1.0

(30-07-2020)
Autres versions
Quoi de neuf Please refer to the following document for details of usage:https://sparse-dense.blogspot.com/2019/05/enjoy-reinforcement-learning-in-tic-tac.html

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Enjoy Reinforcement Learning in Tic-Tac-Toe (2) - Information APK

Version APK: 1.0Package: appinventor.ai_Fujio_YAMAMOTO.aeTTT_psv1b
Compatibilité Android: 2.1+ (Eclair)
Développeur:ishikariAutorisations:5
Nom: Enjoy Reinforcement Learning in Tic-Tac-Toe (2)Taille: 3 MBTéléchargements: 0Version : : 1.0Date de sortie: 2023-03-31 02:39:16Écran mini: SMALLCPU pris en charge:
ID du package: appinventor.ai_Fujio_YAMAMOTO.aeTTT_psv1bSignature SHA1: 97:D6:AE:14:B6:3A:70:66:A6:D0:18:CE:1C:8B:DF:D8:A4:52:BE:6DDéveloppeur (CN): AndroidOrganisation (O): Google Inc.Localisation (L): Mountain ViewPays (C): USÉtat/ville (ST): CaliforniaID du package: appinventor.ai_Fujio_YAMAMOTO.aeTTT_psv1bSignature SHA1: 97:D6:AE:14:B6:3A:70:66:A6:D0:18:CE:1C:8B:DF:D8:A4:52:BE:6DDéveloppeur (CN): AndroidOrganisation (O): Google Inc.Localisation (L): Mountain ViewPays (C): USÉtat/ville (ST): California

Ancienne Version de Enjoy Reinforcement Learning in Tic-Tac-Toe (2)

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