Stratego game meta4/11/2023 People can also adapt to changes in the rules of the game or structure of the board, says Brenden Lake, who co-directs the Minds, Brains, and Machines Initiative at New York University. "We’re constantly working with missing information about how humans are operating and we very intuitively fill in the gaps.".Hidden information and intentions abound in daily life, even in seemingly simple tasks like helping a partner load the dishwasher or driving a car through a street alongside other drivers.But in the real world, an AI system might see a human do something it's never seen before - and have to reason the goal of the person through common sense.Yes, but: A board game is a "highly controlled and limited setting," says Luca Weihs, a research scientist at the Allen Institute for AI who works on how systems can be physically embodied to control a robot or vehicle. "When it comes to planning against adversaries, games are not only important they are necessary," he says, adding they can provide insights about negotiating and reasoning for business, finance and defense sectors, which the two companies he founded and runs, Strategy Robot and Strategic Machines, focus on.The debate is "a misguided question," says Tuomas Sandholm, a professor at Carnegie Mellon University who has studied game theory for three decades. But others say some of the skills required to win games of strategy could lead to real-world applications.Some argue their rules are specific and winning on the board doesn't easily extend to a range of real-world problems.The big picture: Experts debate how much mastering games will help to develop intelligent machines that can navigate the world of humans. They also said they were able to control the AI's dialogue to be "largely honest and helpful.".Cicero “passed as a human player in 40 games” with 82 unique players, the Meta researchers reported.Of note: Some experts say AI systems that can play these games raise concerns about machines having the ability to deceive. In 40 games of a blitz version of Diplomacy where the time for each move is limited to five minutes, Cicero scored more than double the average score of human players it went up against on a gaming platform."Cicero integrates a language model with planning and reinforcement learning algorithms by inferring players' beliefs and intentions from its conversations and generating dialogue in pursuit of its plans," they wrote in Science.In Diplomacy, up to seven players negotiate, deceive and build alliances to try to win control of territories on a map.Meta researchers last week described an AI system called "Cicero" that they report can play the game Diplomacy at the level of humans. DeepNash can "handle huge amounts of uncertainty in the form of imperfect information, more than has previously been possible," DeepMind research scientists Julien Perolat and Karl Tuyls, who are co-lead authors of the paper, said in an email.It won 84% of the time against human expert players on an online gaming platform, sometimes by bluffing and deceiving. The AI agent beat other existing Stratego bots, which play at an amateur level, more than 97% of the time, they report.DeepNash learned the game from scratch by playing about 5.5 billion games against itself over four months.How they did it: The DeepMind team combined an algorithm for learning the game through self-play and another that steers that learning toward an optimal strategy. DeepNash couldn't play Stratego by searching all possible scenarios because there is an "astronomical" number, the DeepMind team writes - far more than in chess, Go and poker, which AI systems have defeated.Stratego is played between two people who each move 40 pieces with different ranks - that can't be seen by their opponent - with a goal of capturing the other player's flag. Why it matters: Machine contenders have struggled with games where information is incomplete or hidden from players - similar to the intentions of humans in daily life and interactions.ĭriving the news: Researchers from DeepMind outline a new autonomous agent called "DeepNash" that learned to play the game Stratego in a paper published today in Science. Two new papers from AI powerhouses DeepMind and Meta describe how AI systems are notching wins against human players in complex games involving deception, negotiation and cooperation.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |