Life In 19x19

playing against the calibrated rank bot, will setting max visits to 2 instead of 1 make a difference in the moves the bot plays/bot strength? I only ask b/c with leela zero i notice when set to -t1 -p1 it uses 2 visits. in katrain, setting to 1 visit gives me an instaneous move, while 2 has a ...

A bit late perhaps, but I was wondering how the Simple Style AI was trained, and how strong it is. Is it also a special version of Katago? Was it trained differently in some way?

None of the AIs are trained, which would need other networks, increasing download size etc. I also don't have the ...

Even if you did all the work you propose and trained the net as you propose in a way to be compatible with katago, and it worked I couldn't guarantee it would make it into the program.
The potential instability of running two instances of katago etc might not be worth it given the rather small ...

I am a new user of KaTrain! (I have fooled around a lot with katago)

Nice work!

The calibrated rank, what scale is it aiming for (EGF, AGA, IGS)?

Is it possible to let two bots play each other at different calibrated ranks?


It's calibrated against GnuGO and Pachi - I have no idea what that ...

Where? On OGS? I'd suggest reporting it there.
There doesn't seem to be anything particularly wrong with the SGF itself though, analysis attached.

2) Generate move suggestion with GnuGo, called g0

This would require packaging another executable for multiple platforms, GTP engine support, with all the UI elements for configuring it and potential errors that can occur.
Way too much work for something like this.

Hmm, I wonder if a query with ...

How about making weak KataGo not playing a move worse than what low level GnuGo would pick. That would probably be a reasonable way to discard wacky bad moves a 25 kyu wouldn't do.

How do you know a move is better or worse than a certain level of GnuGo?

The only thing you have is:

* The policy ...

Hi,
Just my two cents : after a bot is weakened, it would be a good thing to prevent it to ignore important ataris.

It feels really unnatural and disappointing when you play atari to a huge chain of stones and the bot just doesn't see it. Capture, game over.

It tries to do this by making ...

go4thewin wrote:Would be interesting to see if MFOG can beat katago with katago using only 1 playout every move

Note that 'calibrated rank (1d)' is essentially LESS than 1 playout, it's a weakened version of a purely policy/1 playout based AI.

There's some interesting work going on in this github issue .
A contributor developed some calibration for playing a reasonably even game against gnugo and pachi, leading to a new AI option. However, the next step is even more challenging: can we invert this and estimate someone's rank from their ...

Try 'P:weighted' and see how it feels.

I just played a couple of quick games. In the first one I resigned quickly after losing a group. I won the second game by 18.5. The game felt pretty natural for about 150 moves, but the AI started playing strange moves when it was behind, wasted ko threats ...

OK, here is an idea for a weak AI of SDK strength.

Train a policy network on 10 kyu games. But use the bot's regular MCTS and value network for search and evaluation of leaf nodes. The bot will choose candidate plays like weak humans, but evaluate them well. Depending upon the amount of search ...

Ah! Now I remember what I was thinking about.
The idea was not to weaken the bot, but actually to change the komi. OC, the bot changes it internally, so it doesn't play crazy.


Ah, but KataGo tends to not play crazy at all, since scoreLead is part of its utility. :)

Change the komi for the ...

The 'balance' option does something to this effect though. Try it out!

I just tried it a couple of times, I find the bot still pretty strong, each time it beat me by more than 35 points (I am 4-5 kyu on OGS), but the games feel more playable than against Katago. On the other hand, it sometimes ...

Maybe the following could produce interesting results.

Among all moves with policy value p > threshold1, let A be the set of moves that lose less than 2 points compared to the best move, and B the set of moves that lose between 2 and 5 points compared to the the best move.

If the AI is ahead by ...