Hanabi Learning Environment
A new challenge domain with novel problems that arise from its combination of purely cooperative gameplay with two to five players and imperfect information. Source: The Hanabi Challenge: A New Frontier for AI Research
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Card games involve playing cards: the task is to train an agent to play the game with specified rules and beat other players.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
A new challenge domain with novel problems that arise from its combination of purely cooperative gameplay with two to five players and imperfect information. Source: The Hanabi Challenge: A New Frontier for AI Research
A dataset of games played in the card game "Cards Against Humanity" (CAH), by human players, derived from the online CAH labs. Each round includes the cards presented to users - a "black" prompt with a blank or question and 10 "white" punchlines as possible responses, and which punchline was picked by a player each round, along with text and metadata. An example prompt is “TSA guidelines now prohibit ___ on airplanes”. Candidate punchlines are “Goblins”, “BATMAN!!!”, “Poor people”, and “The right amount of cocaine”. Importantly, many cards are offensive or politically incorrect. Used to explore human humor preferences. Available upon request from CAH labs: mail@cardsagainsthumanity.com Train/test splits and data processing available in the paper/code: "Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game": https://github.com/ddofer/CAH
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.