A learning program that plays with the users and depends on their inputs to learn optimal strategy in the classic game of tic-tac-toe.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for avikalp from gravatar.com avikalp

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Avikalp Srivastava
  • Tags IIT, KGP, Tic Tac Toe, Tic Tac, Avikalp Srivastava, CG Accumulator, Python, Reinforcement Learning, Machine Learning
Classifiers

Project description

UNKNOWN

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for avikalp from gravatar.com avikalp

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Avikalp Srivastava
  • Tags IIT, KGP, Tic Tac Toe, Tic Tac, Avikalp Srivastava, CG Accumulator, Python, Reinforcement Learning, Machine Learning
Classifiers

Release history Release notifications | RSS feed

This version

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tictactoe_learn-0.0.1.tar.gz (3.9 kB view details)

Uploaded Source

File details

Details for the file tictactoe_learn-0.0.1.tar.gz.

File metadata

File hashes

Hashes for tictactoe_learn-0.0.1.tar.gz
Algorithm Hash digest
SHA256 99e4168052fa416cac07835b274d7a040e5382069f394c63573cbfb75a2c21e4
MD5 5c102c16e4fa27f93878abd3643e729c
BLAKE2b-256 e443b67ceb4a3d1d26636f6dff67803d06443e0993e0f6adaaad11cde1bc4e42

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page