Starcraft 2 Game Time

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AlphaStar: Mastering the Real-Time Strategy Game StarCraft II

With three races, four modes, and infinite ways to play, StarCraft II is the ultimate real-time strategy experience. Do you have what it takes to become the galaxy's greatest commander? StarCraft: Remastered is a remastered edition of the 1998 real-time strategy video game StarCraft and its expansion Brood War, which was released on August 14, 2017.It retains the gameplay of the original StarCraft, but features ultra-high-definition graphics (ultra HD), re-recorded audio, and Blizzard's modern online feature suite.

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Oriol Vinyals, Google DeepMind

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When:
Monday, March 11, 2019
Event Start Time: 10:30 am (reception 30mins prior to event start)
Event End Time: 12:00 pm
Where:
Kilachand Center, Colloquium Room 101

Abstract:

Games have been used for decades as an important way to test and evaluate the performance of artificial intelligence systems. As capabilities have increased, the research community has sought games with increasing complexity that capture different elements of intelligence required to solve scientific and real-world problems. In recent years, StarCraft, considered to be one of the most challenging Real-Time Strategy (RTS) games and one of the longest-played esports of all time, has emerged by consensus as a 'grand challenge' for AI research. The family game online.

In this talk, I will introduce our StarCraft II program AlphaStar, the first Artificial Intelligence to defeat a top professional player. Family feud fast money game online. In a series of test matches held on 19 December, AlphaStar decisively beat Team Liquid's Grzegorz 'MaNa' Komincz, one of the world's strongest professional StarCraft players, 5-1, following a successful benchmark match against his team-mate Dario 'TLO' Wünsch. The matches took place under professional match conditions on a competitive ladder map and without any game restrictions.

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Bio: Oriol Vinyals is a Sr Staff Research Scientist at Google DeepMind, working in Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award. His research has been featured multiple times at the New York Times, BBC, etc., and his articles have been cited over 36000 times. Some of his contributions are used in Google Translate, Text-To-Speech, and Speech recognition, serving billions of queries every day, and he was the lead researcher of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft. At DeepMind he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, deep learning and reinforcement learning.

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