• Build a bot! -- Reconnaissance Blind Chess online AI competition

    From Ryan Gardner@21:1/5 to All on Fri Jun 5 13:03:27 2020
    We are hosting an online AI competition as a follow-up to our competition that was part of NeurIPS last year. Participants create a bot that can play chess, but blind and with the ability to privately sense a 3x3 square of the board each turn! Anyone
    can participate. There is no cost.

    Modest prizes will be awarded to the owners of the bots with the highest ranks on August 31, 2020 11:59 pm EDT (but the real reward is the research and fun):
    -1st Place: $1000
    -2nd Place: $500

    Play now: https://rbc.jhuapl.edu

    Your bot can play any time and give you immediate feedback and begin obtaining a rank. Join the research community.




    Many of the favorite studied games in artificial intelligence (AI) such as checkers, chess, and Go lack something that is common and critical in real-life decision making, uncertainty.

    This is a competition with a simple but powerful twist on what may be considered the most classic game in AI history, chess. Reconnaissance Blind Chess (RBC) is like chess except a player cannot see where her opponent's pieces are a priori. Rather, she
    learns partial information about them with the ability to sense a 3x3 square of the board each turn and from the results of moves.

    In comparison to poker, which seems to be the most popularly studied game of imperfect information, RBC includes a critical component of long-term planning. Compared to phantom games like Kriegspiel, in RBC players have much more ability to manage their
    uncertainty, which we believe makes the game more interesting from an AI perspective and more realistic for most scenarios; players are not completely blind, but rather, metaphorically, they simply cannot look everywhere at once. In particular, a major
    research challenge of the game arises from the fact that there is little public or common knowledge. One does not know what her opponent knows.

    Participants are welcome to use any code or libraries available.

    For more information on the competition, the game itself, or the API, or to play the game to get a feel for it, visit our website below.

    https://rbc.jhuapl.edu

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