M
Milind Tambe
Researcher at Harvard University
Publications - 735
Citations - 28258
Milind Tambe is an academic researcher from Harvard University. The author has contributed to research in topics: Stackelberg competition & Game theory. The author has an hindex of 79, co-authored 701 publications receiving 25866 citations. Previous affiliations of Milind Tambe include Honeywell & Information Sciences Institute.
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Towards Flexible Teamwork
TL;DR: In STEAM, team members monitor the team's and individual members' performance, reorganizing the team as necessary, and decision-theoretic communication selectivity in STEAM ensures reduction in communication overheads of teamwork, with appropriate sensitivity to the environmental conditions.
Journal ArticleDOI
Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening.
Daniel B. Larremore,Bryan Wilder,Evan Lester,Evan Lester,Soraya Shehata,Soraya Shehata,James M. Burke,James A. Hay,Milind Tambe,Michael J. Mina,Michael J. Mina,Roy Parker +11 more
TL;DR: It is demonstrated that effective screening depends largely on frequency of testing and speed of reporting and is only marginally improved by high test sensitivity, and should prioritize accessibility, frequency, and sample-to-answer time.
Journal ArticleDOI
Towards flexible teamwork
TL;DR: In this paper, the authors present a general, implemented model of teamwork, called STEAM, which is based on agents' building up a (partial) hierarchy of joint intentions (this hierarchy is seen to parallel Grosz & Kraus's partial Shared-Plans, 1996).
Journal ArticleDOI
Adopt: asynchronous distributed constraint optimization with quality guarantees
TL;DR: This work proposes a polynomial-space algorithm for DCOP named Adopt that is guaranteed to find the globally optimal solution while allowing agents to execute asynchronously and in parallel and has the ability to quickly find approximate solutions and maintain a theoretical guarantee on solution quality.
Book ChapterDOI
The Belief-Desire-Intention Model of Agency
TL;DR: Within the ATAL community, the belief-desire-intention (BDI) model has come to be possibly the best known and best studied model of practical reasoning agents.