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PRODID:-//eluceo/ical//2.0/EN
VERSION:2.0
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:www.tcs.tifr.res.in/event/1711
DTSTAMP:20260424T043604Z
SUMMARY:Teaching Your Computer to Play Chess (Part 1): Markov Games and TD 
 Learning
DESCRIPTION:Speaker: Aakash Ghosh (TIFR)\n\nAbstract: \nHow do we mathemati
 cally formulate the problem of learning to play a game as complex as chess
 ? In the first part of this two-part series\, we will approach chess throu
 gh  the lens of Reinforcement Learning and Stochastic Approximation. We b
 egin by formalizing the game as a two-player zero-sum Markov Decision Proc
 ess\, discussing the Bellman Optimality Equation and minimax equilibria.\n
URL:https://www.tcs.tifr.res.in/web/events/1711
DTSTART;TZID=Asia/Kolkata:20260424T160000
DTEND;TZID=Asia/Kolkata:20260424T170000
LOCATION:A201
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