76 lines
4.0 KiB
Markdown
76 lines
4.0 KiB
Markdown
Manual
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======
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Installation
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------------
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* pip install kivy
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* On linux, change the `engine.command` field in `config.json` to your kata v1.3+ installation.
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* start the app by running `python katrain.py`
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Options
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-------
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* Check box options
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* Eval: show the coloured dots on the moves for this player.
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* Hints: show suggested moves for this player.
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* Undo: automatically undo poor moves for this player and make them try again.
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* AI: let the AI control this player. Check both for self-play.
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* Show owner: show expected control of territory.
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* Lock AI: disallow extra undos, changing hints options, changing auto move, or AI move.
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* Fast: use a lower number of max visits for evaluation/AI move.
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* Balance score: Deliberately make sub-optimal moves as the AI in an attempt to balance the score towawrds a slight win.
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* Temperature/Evaluation/Score: Not that these fields can be hidden by clicking on the text.
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* Temperature is the point difference between passing and the best move.
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* Evaluation is where on this scale the last move was, from 0% (equivalent to a pass) to 100% (best move).
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This can be < 0% in case of suicidal moves, or >100% when Kata did not consider the move before, or further analysis shows it to be better than the best one considered.
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* Score: How far one player is ahead.
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Play
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----
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* Play against the AI
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* Turn on AI for the chosen player.
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* Choose whether to turn on `balance score` to make the AI play slack moves.
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* Choose whether to turn on `undo` for your colour to be prompted to re-try poor moves.
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* Choose whether or not to turn on `fast` to make the AI play faster but read less deeply (NB: with balance score, faster AI can be a stronger opponent, as there are fewer mediocre moves considered).
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* Possibly lock AI to prevent yourself from peeking at hints, etc.
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* Possibly hide score or temperature.
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* If you chose AI to play black, click AI move for the first move.
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* Engine-assisted play
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* Turn off auto move.
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* Choose whether to turn on `undo` for either colour to be prompted to re-try poor moves.
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* Possibly lock AI to prevent peeking at hints.
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* Possibly hide score or temperature.
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* Play with a friend with instant feedback and/or undos for both, or see how many stones stronger you are with one undo. (But please play unranked and be honest to your opponent on what you're doing)
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* Analysis
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* Copy the SGF into the text box. Note that branches are not supported and will lead to strange results.
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* Choose whether or not to turn on `fast` to make the AI weaker but analyze faster.
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* Click `Analyze`
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* Save game
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* Click save to get an sgf as `out.sgf` with comments (and a short version in the text box).
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Configuration
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-------------
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`config.json` has a number of options, many of them are stylistic, but also including the command kata is started with (and so the kata config and model).
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You can use `python katrain.py your_config_file.json` to use another config file instead.
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The `trainer` block has the following options to tweak:
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* `balance_play_target_score`: indicates how many points the AI aims to win by when using 'balance score'.
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* `balance_play_randomize_eval`: when not needing to balance score, the AI will pick a random move which is at least this good as long as it stays ahead.
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* `balance_play_min_eval`: when needing to balance score, the AI will pick a move which is at least this good.
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* `balance_play_min_visits`: never pick a move with fewer playouts than this.
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* `undo_eval_threshold`, `undo_point_threshold`: prompt player to undo if move is worse than this in terms of points AND evaluation.
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* `num_undo_prompts`: automatically undo bad moves when `undo` is on at most this many times.
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The cfg file has additional configuration for kata. In particular, it changes the default to being more exploratory and score-based (and therefore nicer as an opponent, but weaker as analysis tool).
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TODO
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----
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* Dots scaling better by temperature
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* Better name
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* ....
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