Polecat
maia-chess
Polecat | maia-chess | |
---|---|---|
3 | 97 | |
2 | 897 | |
- | 2.1% | |
0.0 | 1.6 | |
about 2 years ago | 10 months ago | |
Python | Python | |
- | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Polecat
-
What is your unpopular chess opinion?
And in fact Trappy Beowulf, which attempts to set traps in the hopes that its human opponents will fall victim to them, already slightly outperforms normal Beowulf. I have also since been made aware of Polecat, an engine trained to play trappily against humans. So I don't think it's unreasonable to suggest that in some situations, playing an objectively-worse move can yield better results.
-
How close are we to perfect chess strategy?
Au contraire! Polecat and Trappy Beowulf exist; the latter actually managed to get a higher rating on ICC than normal Beowulf did, when playing against human players.
-
Does a chess engine exists that makes mistakes, but ultimately those mistakes force a single unnatural human moves from the opponent? IE: Retreat back 1 square, pin queen to king. move piece to a multi-defended square, sack the exchange, move piece on the other side of the board, etc.
I'm aware of an engine called Polecat, which plays in such a way so as to provoke blunders from human players; it uses Maia to predict what sorts of blunders humans are likely to play.
maia-chess
-
Grandmaster-Level Chess Without Search
This was studied with the Maia series of bots. See:
https://github.com/CSSLab/maia-chess
-
Chess-GPT's Internal World Model
There is a very interesting project on this exact problem called Maia, which trains an engine based on millions of human games played on Lichess, specifically targeting varying levels of skill from 1300 to 1900 Elo. I haven't played it myself, by my understanding is that it does a much better job imitating the mistakes of human players. https://maiachess.com
- A chess terminal user interface implementation
- Interested in going to my first tournament and was wondering if there is a place where I can review players classical games around 1700 rating so I can get an idea of what is expected and their strengths?
-
Scientists claim >99 percent identification rate of ChatGPT content
In general the goal of these progrms is to win, not to pretend to be human.
In chess, there is a project called Maia which aims at predicting the human move rather than the best move. Even then it blunders less than humans of a similar rating, so it can still be detected.
https://maiachess.com/
-
Most human engine to play against?
Maia Chess
-
Do you have to buy Maia to use it offline?
It's on GitHub, you just need an interface like Nibbler.
-
Anyone know if there are chess AIs trained like chatGPT, as a move predictor instead of a move maximizer as most have been (I think)?
That's exactly what Maia Chess is designed to do. https://maiachess.com/
-
Can a 2000 elo bot blunder like this?
If you wanna play a more human like bot check out Maia https://maiachess.com/
-
The Q&A Megathread for new and beginner chess players
If you want to play an engine who plays a lot more like a human, you should try Maia Chess.
What are some alternatives?
TrappyBeowulf - A modification of the Beowulf chess engine to use Trappy Minimax
Stockfish - UCI chess engine
stockfish - Integrates the Stockfish chess engine with Python
lc0 - The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
Winter - UCI Chess Engine
zahak - A UCI compatible chess AI in Go
Stockfish - A free and strong UCI chess engine
lila - ♞ lichess.org: the forever free, adless and open source chess server ♞
MongoDB - The MongoDB Database
Auto-Chess - A chess bot that automatically calculates the best moves and plays them for you
pgnToFen - Takes PGN as input and returns FEN
product-extraction-benchmark