Milind Tambe
Artificial Intelligence · 1997–2019
A researcher in the Science corpus: 18 papers; trusts 33 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #11,394 of 35,345 by trust here, #17,412 by citations
- Management Science and Operations Research — 28 citations into it
- Computer Networks and Communications — 15 citations into it; #4,914 of 9,886 by trust here, #6,498 by citations
- Sociology and Political Science — 13 citations into it
- Reinforcement Learning — 11 citations into it
- Game & Decision Theory — 10 citations into it
- Statistics and Probability — 10 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
Whom Milind Tambe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vincent Conitzer
- Martin A. Dufwenberg
- James Adam Pita
- Dimitris J. Bertsimas
- Eric E. C. van Damme
- Tim Roughgarden
- Ariel Rubinstein
- David Haussler
- Daniel McFadden
- Praveen Paruchuri
Who trusts Milind Tambe overall
- Frans Adriaan Oliehoek
- Fei Fang
- Karel Durkota
- Viliam Lisý
- Samuel Rota Bulò
- Arunesh Sinha
- Yufei Wang
- Chris Amato
- Nicolas Papernot
- Branislav Bosanský
Papers from Milind Tambe's perspective
Ordered by how strongly the researchers Milind Tambe trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization (2018) — 390 citations
- Deep Fictitious Play for Games with Continuous Action Spaces (2019) — 9 citations
- Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping (2009) — 76 citations
- Refinement of Strong Stackelberg Equilibria in Security Games (2011) — 65 citations
- Partially Generative Neural Networks for Gang Crime Classification with Partial Information (2018) — 16 citations
- Coordinating occupant behavior for building energy and comfort management using multi-agent systems (2012) — 383 citations
- Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources (2018) — 65 citations
- Learning Adversary Behavior in Security Games: A PAC Model Perspective (2015) — 35 citations
- From physical security to cybersecurity (2015) — 57 citations
- Protecting Moving Targets with Multiple Mobile Resources (2013) — 39 citations
- Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness (2011) — 287 citations
- Security and Game Theory - Algorithms, Deployed Systems, Lessons Learned (2011) — 670 citations
- Computing optimal randomized resource allocations for massive security games (2009) — 425 citations
- Deployed ARMOR protection: the application of a game theoretic model for security at the Los Angeles International Airport (2008) — 434 citations
- Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games (2008) — 516 citations
- Adopt: asynchronous distributed constraint optimization with quality guarantees (2005) — 952 citations
- Taking DCOP to the real world: efficient complete solutions for distributed multi-event scheduling (2004) — 329 citations
- The RoboCup Synthetic Agent Challenge 97 (1997)