基本信息
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职业迁徙
个人简介
recently received my Ph.D. in Computer Science from Carnegie Mellon University. My advisor was Manuela Veloso.
A AAAI paper describing some of my preliminary thesis work won a best-paper award at AAAI 2007.
See my publications page for a complete list of the papers I've (co-)authored. See my resume for full details about the research projects I've worked on.
For my doctoral thesis research, I investigated how teams of agents or robots can act near-optimally in timed, zero-sum games. In these domains, teams need to act in order to maximize the probability of winning, not necessarily to maximize their score. The general idea is that a team which is losing should act more aggressively to try to even the score, and a team which is winning should act more defensively to try to preserve their lead. I present algorithms which compute optimal policies for these timed domains, using Markov and semi-Markov models (MDPs and SMDPs). I also analyze how a team should change strategy in response to an opponent whose behavior is initially unknown but slowly reveals itself during execution. My thesis work has been applied to three challenging domains: the RoboCup robot soccer competition, a simulated Capture the Flag domain, and reCAPTCHA.
研究兴趣
论文共 24 篇作者统计合作学者相似作者
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mag(2012)
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Thresholded-rewards decision problems: acting effectively in timed domains (2009)
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ROBOCUP 2006: ROBOT SOCCER WORLD CUP X (2007): 483-490
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