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| -rw-r--r-- | README.md | 19 |
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@@ -1,6 +1,6 @@ # Imago -A Go AI. +An AI player of the game of Go. ## The project @@ -10,22 +10,19 @@ Software Engineering of the University of Oviedo. ## Implementation Imago is written in Python and the source code is inside the `imago` folder. The -implementation is on an early stage and includes core game logic, a basic GTP -engine and a placeholder AI function which plays on random empty vertices. +implementation includes core game logic and a GTP engine able to play using +either Monte Carlo Tree Search or a neural network trained on human matches. A game of go with no AI can be played by running the `go.py` script. This is useful to test the core game logic. The GTP engine can be started by the `imagocli.py` script. Following the GTP specification, known commands can be listed by entering `list_commands` on the GTP engine's interface. -Tests are stored in the `tests` folder which as of now contains an example -tests file. The tests can be run with the `test.sh` script which uses the -Python package `coverage` to get coverage statistics. +Tests are stored in the `tests` folder. The tests can be run with the `test.sh` +script which uses the Python package `coverage` to get coverage statistics. ## Documentation -The source code for a work in progress documentation is laid out inside the -`doc` folder, including a Makefile to compile it. This documentation compiling -process depends on `xelatex`, `biber`, `plantuml` and some `LaTeX` packages. -This documentation is fully subject to change in any moment of development and -it probably already contradicts the actual implementation. +The source code for the documentation is laid out inside the `doc` folder, +including a Makefile to compile it. The documentation compiling process depends +on `xelatex`, `biber`, `plantuml` and some `LaTeX` packages. |