Facebook Finally Has an Answer to Googles Alpha Go: A Robot Card Player
Four years ago, Googles then independentartificial intelligence arm, DeepMind Technologies, stunned the world when its robot chess player, AlphaGo, defeated the worlds best players of the board game Goby a far margin.
In the game of Hanabi,teams of two to five players are given random cards of different colors and numbers that represent points.
As a result, they have to guess the cards they hold based on hints from teammateswhile giving hints to others about their cardsand decide whether to discard or play a certain card.
To train its bots to understand hints from other teammate bots,Facebook used a technique called the Monte Carlo tree search, the same algorithm system used by DeepMind in the development of AlphaGo and its successors.
Facebook said the technology could see applications in many consumer areas, including virtual assistants and self-driving cars.
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