历年 AAAI 最佳论文（since 1996）

AAAI 2020 投稿已经

过万

，

有小伙伴说

号投的时候才

三千多

，没想到

号就

过万

了，

由此可见本次 AAAI 20220 竞争力

非常激烈

了！

以下是由AI研习社整理的1996-2019年 AAAI 历年最佳论文，

感兴趣的同学可以看看，供大家学习！

我们已经准备好了

AAAI 小组

，

给大家第一时间传递最新有关 AAAI 2020的消息：

想要一键下载所有论文？点击文末阅读原文闪现下载页面！

2019	How to Combine Tree-Search Methods in ReinforcementLearning	Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	Memory-Augmented Monte Carlo Tree Search	Chenjun Xiao, University of Alberta; et al.
2017	Label-Free Supervision of Neural Networks with Physics and Domain Knowledge	Russell Stewart & Stefano Ermon, Stanford University
2016	Bidirectional Search That Is Guaranteed to Meet in the Middle	Robert C. Holte, University of Alberta; et al.
2015	From Non-Negative to General Operator Cost Partitioning	Florian Pommerening, University of Basel; et al.
2014	Recovering from Selection Bias in Causal and Statistical Inference	Elias Bareinboim, University of California Los Angeles; et al.
2013	HC-Search: Learning Heuristics and Cost Functions for Structured Prediction	Janardhan Rao Doppa, Oregon State University; et al.
2013	SMILe: Shufﬂed Multiple-Instance Learning	Gary Doran & Soumya Ray, Case Western Reserve University
2012	Learning SVM Classifiers with Indefinite Kernels	Suicheng Gu & Yuhong Guo, Temple University
2012	Document Summarization Based on Data Reconstruction	Zhanying He, Zhejiang University; et al.
2011	Dynamic Resource Allocation in Conservation Planning	Daniel Golovin, California Institute of Technology; et al.
2011	Complexity of and Algorithms for Borda Manipulation	Jessica Davies, University of Toronto; et al.
2010	How Incomplete Is Your Semantic Web Reasoner? Systematic Analysis of the Completeness of Query Ans...	Giorgos Stoilos, Oxford University; et al.
2010	A Novel Transition Based Encoding Scheme for Planning as Satisfiability	Ruoyun Huang, Washington University in St. Louis; et al.
2008	How Good is Almost Perfect?	Malte Helmert & Gabriele Röger, Albert-Ludwigs-Universität Freiburg
2008	Optimal False-Name-Proof Voting Rules with Costly Voting	Liad Wagman & Vincent Conitzer, Duke University
2007	PLOW: A Collaborative Task Learning Agent	James Allen, Institute for Human and Machine Cognition; et al.
2007	Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games	Colin McMillen & Manuela Veloso, Carnegie Mellon University
2006	Model Counting: A New Strategy for Obtaining Good Bounds	Carla P. Gomes, Cornell University; et al.
2006	Towards an Axiom System for Default Logic	Gerhard Lakemeyer, RWTH Aachen University Hector J. Levesque, University of Toronto
2005	The Max K- Armed Bandit: A New Model of Exploration Applied to Search Heuristic Selection	Vincent A. Cicirello, Drexel University Stephen F. Smith, Carnegie Mellon University
2004	Learning and Inferring Transportation Routines	Lin Liao, University of Washington; et al.
2002	On Computing All Abductive Explanations	Thomas Eiter, Technische Universität Wien Kazuhisa Makino, Osaka University
2000	The Game of Hex: An Automatic Theorem-Proving Approach to Game Programming	Vadim V. Anshelevich, Vanshel Consulting
1999	PROVERB: The Probabilistic Cruciverbalist	Greg A. Keim, Duke University; et al.
1998	Learning Evaluation Functions for Global Optimization and Boolean Satisfiability	Justin A. Boyan & Andrew W. Moore, Carnegie Mellon University
	Acceleration Methods for Numeric CSPs	Yahia Lebbah & Olivier Lhomme, Ecole des Mines de Nantes
	The Interactive Museum Tour-Guide Robot	Wolfram Burgard, University of Bonn; et al.
1997	Statistical Parsing with a Context-Free Grammar and Word Statistics	Eugene Charniak, Brown University
	A Practical Algorithm for Finding Optimal Triangulations	Krill Shoikhet & Dan Geiger, Technion
	Fast Context Switching in Real-Time Propositional Reasoning	P. Pandurang Nayak & Brian C. Williams, NASA Ames Research Center
	Building Concept Representations from Reusable Components	Peter Clark, Boeing Bruce Porter, University of Texas at Austin
1996	Verification of Knowledge Bases Based on Containment Checking	Alon Y. Levy, AT&T Laboratories Marie-Christine Rousset, Université Paris-Sud
	A Novel Application of Theory Refinement to Student Modeling	Paul T. Baffes, SciComp Raymond J. Mooney, University of Texas at Austin
	Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search	Henry Kautz & Bart Selman, AT&T Laboratories

点击阅读原文，一键下载所有论文

继续阅读

阅读原文