Package: tictactoe 0.2.3
tictactoe: Tic-Tac-Toe Game
Implements tic-tac-toe game to play on console, either with human or AI players. Various levels of AI players are trained through the Q-learning algorithm.
Authors:
tictactoe_0.2.3.tar.gz
tictactoe_0.2.3.zip(r-4.7)tictactoe_0.2.3.zip(r-4.6)tictactoe_0.2.3.zip(r-4.5)
tictactoe_0.2.3.tgz(r-4.6-any)tictactoe_0.2.3.tgz(r-4.5-any)
tictactoe_0.2.3.tar.gz(r-4.7-any)tictactoe_0.2.3.tar.gz(r-4.6-any)
tictactoe_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tictactoe/json (API)
NEWS
| # Install 'tictactoe' in R: |
| install.packages('tictactoe', repos = c('https://kota7.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kota7/tictactoe/issues
Last updated from:638244ec8f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 179 | ||
| linux-release-x86_64 | OK | 116 | ||
| macos-release-arm64 | OK | 114 | ||
| macos-oldrel-arm64 | OK | 117 | ||
| windows-devel | OK | 91 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 63 | ||
| wasm-release | OK | 100 |
Exports:equivalent_statesequivalent_states_actionsgetvalueshaskeyhaskeyssetvaluestttttt_aittt_gamettt_humanttt_qlearnttt_randomttt_simulatexhash
Dependencies:hash
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Equivalent States | equivalent_states equivalent_states_actions |
| Hash Operations for Single State | hash-ops haskey haskey.xhash [.xhash [<-.xhash |
| Play Tic-Tac-Toe Game | ttt |
| Tic-Tac-Toe AI Player | ttt_ai ttt_random |
| Tic-Tac-Toe Game | ttt_game |
| Human Tic-Tac-Toe Player | ttt_human |
| Q-Learning for Training Tic-Tac-Toe AI | ttt_qlearn |
| Simulate Tic-Tac-Toe Games between AIs | ttt_simulate |
| Vectorized Hash Operations | getvalues getvalues.xhash haskeys haskeys.xhash setvalues setvalues.xhash vectorized-hash-ops |
| Create Hash Table for Generic States | xhash |
