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Credits: Image: Ali Jahanian Caption: Gear bags are lined up for a past year’s Pokerbots competition. This year’s competition took place virtually. Credits: Photo courtesy of Pokerbots. Caption: Among IAP offerings from EECS this year was Code for Good. Seen here is a Code for Good meeting that took place before the pandemic put an end to such interactions. Credits: Image courtesy of Code For Good. Previous image Next image For 50 years, MIT students have taken advantage of Independent Activities Period, a special mini-term, only four weeks long, tucked between the end of the fall and beginning of the spring semesters. This year, IAP looked a little different, as Covid-19 precautions led instructors to shift their classes online, but the term’s spirit of innov ....
by Facebook AI Research (FAIR) published a paper on Recursive Belief-based Learning (ReBeL), their new AI for playing imperfect-information games that can defeat top human players in poker. The algorithm combines reinforcement learning (RL) with state-space search and converges to a Nash equilibrium for any two player zero sum game. Code for training the algorithm to play Liar s Dice has been open-sourced. FAIR researchers Noam Brown and Anton Bakhtin gave an overview of the system in a blog post. ReBeL is a general-purpose algorithm for use in any two player zero sum game, even those with imperfect information, where players do not have complete knowledge of the game state. By modeling the probability distribution of the beliefs that players may have about game state, ReBeL can apply AI techniques used in perfect-information games. The algorithm is proven to converge to the optimal policy for the game, and FAIR s implementation for Heads-Up No-Limit (HUNL) Texas Ho ....