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In a bid to explore new frontiers in chess, our researchers worked with Vladimir Kramnik to use AlphaZero to test nine new variants of chess.
— DeepMind (@DeepMind) September 10, 2020
The result? A more creative and collaborative relationship between chess players and machines. https://t.co/5ZQxjBrVIr via @Wired https://t.co/V54MTsQrNF
“Chess engines were initially built to play against humans with the goal of defeating them,” says Nenad Tomašev, a DeepMind researcher who worked on the project. “Now we see a system like AlphaZero used for creative exploration in tandem with humans rather than opposed to them.” https://t.co/S8FYODYtpp
— Mark Szpakowski (@szpak) September 11, 2020
Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess
— AK (@ak92501) September 10, 2020
pdf: https://t.co/as1qHW4FN4
abs: https://t.co/gS1lULjKKN pic.twitter.com/HMpZCOG9xh
"Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess" --> https://t.co/11uzuu9PYM
— fogus (@fogus) September 10, 2020
Fantastic work by Google's DeepMind team in collaboration with former World Chess Champion Vladimir Kramnik. They let the world's strongest AI chess engine play against itself in nine chess variants, where classical rules are slightly tweaked. https://t.co/wTlmkW4nk5 pic.twitter.com/CHCY6s0kr5
— Leonardo Carella (@leonardocarella) September 10, 2020
Playing a little chess this weekend! At least in "Chess9LX / Fischerandom Chess," I don't have to remember how to set up the pieces. And if I don't do well, I'll sue my young opponents for elder abuse! Info: https://t.co/pGe87OTRnN https://t.co/KD7xNWoNY6
— Garry Kasparov (@Kasparov63) September 8, 2020
Chess 960 Championship starts tomorrow. Please don't attempt to contact me when @Kasparov63 is playing. https://t.co/fEDlxKmUKX
— Steve Koczela (@skoczela) September 10, 2020
With all this excitement around chess variants (HT @LevAronian), I can't wait for tomorrow's Chess 9LX event, featuring @Kasparov63's return! https://t.co/ycwuP8kaXU @STLChessClub
— Jennifer Shahade (@JenShahade) September 10, 2020
I will be calling the action with Yaz and Maurice starting at 2 PM EDT daily!
AI Ruined Chess. Now, It’s Making the Game Beautiful Again https://t.co/lpGgtj0wlM #tech #feedly
— Nicolas Babin (@Nicochan33) September 13, 2020
In a bid to explore new frontiers in chess, our researchers worked with Vladimir Kramnik to use AlphaZero to test nine new variants of chess.
— DeepMind (@DeepMind) September 10, 2020
The result? A more creative and collaborative relationship between chess players and machines. https://t.co/5ZQxjBrVIr via @Wired https://t.co/V54MTsQrNF
AI Ruined Chess. Now, It's Making the Game Beautiful Again https://t.co/2NR0ImiPug #Business/ArtificialIntelligence #artificialintelligence
— SyntaxError (@DataAugmented) September 10, 2020
AI Ruined Chess.
— Spiros Margaris (@SpirosMargaris) September 13, 2020
Now, It’s Making the Game Beautiful Again https://t.co/29Z2DkwmqQ #fintech #AI #ArtificialIntelligence #MachineLearning #DeepLearning #BigDarta #games @tsimonite @WIRED @KMcDTech @KirkDBorne @Thomas_Harrer @Ronald_vanLoon @andi_staub @ipfconline1 @ahier pic.twitter.com/1BTXhJcfiC
#AI Ruined #Chess, but now @DeepMind AI is Making the Game Beautiful Again: https://t.co/qbtvje5vk5
— Kirk Borne (@KirkDBorne) September 13, 2020
—————#DeepLearning #MachineLearning #AlphaZero #BigData #Algorithms
"AIがチェスを台無しにしました。これでゲームが再び美しくなりました " #機械学習 #深層学習 #人工知能 #AI #MachineLearning #IT https://t.co/bnpoKQ01VZ
— 機械学習ゴリラ?Team AI研究会アンバサダー (@team_ai_jp) September 13, 2020
A beautiful example of man-machine collaboration brings new horizons to fields that seemed killed by AI. #AI #society #future #machinelearning #lifehacks #longreads via @WIRED https://t.co/AFA566Mb9q pic.twitter.com/wLMKPPXGrt
— Sergio Werner (@sh_werner) September 13, 2020
Great work using AlphaZero to analyse a new variant of Chess, from my colleagues @ulrichpaquet and @weballergy. My favourite quote from Ulrich: “When it starts playing it’s so bad I want to hide under my table,” ? https://t.co/H7qdUDCMyz
— Avishkar ✊?✊?✊?✊? (@avishkar58) September 10, 2020
The ones I want to play most after reading the paper are self capture chess and semi-torpedo.
— Jennifer Shahade (@JenShahade) September 10, 2020
paper: https://t.co/XMunveCZtd@WIRED @tsimonite: https://t.co/2uycxMKEgA@chesscom https://t.co/SLMTTUqdGT
How #AlphaZero is using #ReinforcementLearning to redefine #chess ▶️#Analytics #MachineLearning #AI #DigitalTransformation#DataScience #IoT #Cloud #fintech #Reactjs #RStats #javascript#WomenWhoCode #edutwitter #100DaysOfCode
— Maac (@Analytics_699) September 10, 2020
>>>> https://t.co/Geae8BMVJu >>>> @Analytics_699
Deepmind社とGMウラジーミル・クラムニク (Vladimir Kramnik)が協力し、チェスの新ルールを検討しました。AlphaZeroに新ルールを学習させ、AlphaZero同士の対戦を行っています。 https://t.co/3YgYxWILrn
— だめ人間のチェス (@dame_chess) September 10, 2020
#チェスjp
こっちの記事に派生ルールの概要が列挙されている。
— 市川雄二 (@y_ich2) September 10, 2020
New AlphaZero Paper Explores Chess Variants https://t.co/WuAuSruu9e