An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration
暂无分享,去创建一个
Santiago Ontañón | James A. Hendler | Thomas G. Dietterich | Victor R. Lesser | Xiaoqin Zhang | Deborah L. McGuinness | Weng-Keen Wong | Subbarao Kambhampati | Li Ding | Gerald DeJong | James Michaelis | Ashwin Ram | Daniel D. Corkill | Jinhong K. Guo | Ugur Kuter | Janardhan Rao Doppa | Prasad Tadepalli | Elizabeth T. Whitaker | Diana F. Spears | Darren Scott Appling | Derek T. Green | Sung Wook Yoon | Ethan Trewhitt | Charles Parker | Chongjie Zhang | Zhexuan Song | Hala Mostafa | Antons Rebguns | Daniel McFarlane | Martin O. Hofmann | Bhavesh Shrestha | Geoffrey Levine | Huzaifa Zafar | Kenneth R. Whitebread | Phillip DiBona | James R. Michaelis | Reid MacTavish | Jainarayan Radhakrishnan | S. Kambhampati | D. McGuinness | G. DeJong | Prasad Tadepalli | S. Yoon | V. Lesser | D. Corkill | A. Ram | D. Spears | J. Hendler | Li Ding | Santiago Ontañón | Weng-Keen Wong | Hala Mostafa | U. Kuter | X. Zhang | Charles Parker | H. Zafar | Chongjie Zhang | Z. Song | D. S. Appling | M. Hofmann | E. Trewhitt | E. Whitaker | B. Shrestha | Antons Rebguns | Geoffrey Levine | K. Whitebread | Phil DiBona | J. Guo | Daniel McFarlane | Reid MacTavish | J. Radhakrishnan
[1] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[2] Robert Givan,et al. Inductive Policy Selection for First-Order MDPs , 2002, UAI.
[3] Ugur Kuter,et al. Learning constraints via demonstration for safe planning , 2007, AAAI 2007.
[4] Gökhan BakIr,et al. Predicting Structured Data , 2008 .
[5] Yan Zhou,et al. Enhancing Supervised Learning with Unlabeled Data , 2000, ICML.
[6] A. Gerevini,et al. A Planner Based on an Automatically Configurable Portfolio of Domain-independent Planners with Macro-actions : PbP Beniamino Galvani , 2008 .
[7] Santiago Ontañón,et al. An Ensemble Learning and Problem Solving Architecture for Airspace Management , 2009, IAAI.
[8] Peter Edwards,et al. Distributed Learning: An Agent-Based Approach to Data-Mining , 1995 .
[9] Bart Selman,et al. Unifying SAT-based and Graph-based Planning , 1999, IJCAI.
[10] Hector Geffner,et al. Learning Generalized Policies in Planning Using Concept Languages , 2000, KR.
[11] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[12] Hai Yang,et al. ACM Transactions on Intelligent Systems and Technology - Special Section on Urban Computing , 2014 .
[13] Hector Muñoz-Avila,et al. Case-Based Plan Adaptation: An Analysis and Review , 2008, IEEE Intelligent Systems.
[14] Ugur Kuter,et al. LEARNING AND VERIFICATION OF SAFETY PARAMETERS FOR AIRSPACE DECONFLICTION , 2009 .
[15] Ronald L. Rivest,et al. Learning decision lists , 2004, Machine Learning.
[16] John E. Laird,et al. Learning goal hierarchies from structured observations and expert annotations , 2006, Machine Learning.
[17] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[18] Daniel Marcu,et al. Learning as search optimization: approximate large margin methods for structured prediction , 2005, ICML.
[19] Jadzia Cendrowska,et al. PRISM: An Algorithm for Inducing Modular Rules , 1987, Int. J. Man Mach. Stud..
[20] Alan Fern,et al. Gradient Boosting for Sequence Alignment , 2006, AAAI.
[21] Derek T. Green,et al. Inferring and Applying Safety Constraints to Guide an Ensemble of Planners for Airspace Deconfliction , 2008 .
[22] Susan L. Epstein. For the Right Reasons: The FORR Architecture for Learning in a Skill Domain , 1994, Cogn. Sci..
[23] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..
[24] Brett Benyo,et al. POIROT - Integrated Learning of Web Service Procedures , 2008, AAAI.
[25] Koby Crammer,et al. Online Large-Margin Training of Dependency Parsers , 2005, ACL.
[26] Robert Givan,et al. Taxonomic syntax for first order inference , 1989, JACM.
[27] Zhi-Hua Zhou,et al. Analyzing Co-training Style Algorithms , 2007, ECML.
[28] Julie A. Adams,et al. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence , 2001, AI Mag..
[29] Victor R. Lesser,et al. The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty , 1980, CSUR.
[30] Jaime G. Carbonell,et al. Strategies for Learning Search Control Rules: An Explanation-based Approach , 1987, IJCAI.
[31] Santiago Ontañón,et al. Learning and joint deliberation through argumentation in multiagent systems , 2007, AAMAS '07.
[32] Manuela M. Veloso,et al. Multiagent Systems: A Survey from a Machine Learning Perspective , 2000, Auton. Robots.
[33] Agnar Aamodt,et al. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..
[34] Alan Fern,et al. Discriminative Learning of Beam-Search Heuristics for Planning , 2007, IJCAI.
[35] Pedro M. Domingos,et al. Programming by demonstration: a machine learning approach , 2001 .
[36] Ben Taskar,et al. Max-Margin Markov Networks , 2003, NIPS.
[37] David W. Aha,et al. A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms , 1997, Artificial Intelligence Review.
[38] R. Michalski. Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning , 2004, Machine Learning.
[39] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[40] Joseph Y. Halpern,et al. Responsibility and Blame: A Structural-Model Approach , 2003, IJCAI.
[41] Alfonso Gerevini,et al. An Automatically Configurable Portfolio-based Planner with Macro-actions: PbP , 2009, ICAPS.
[42] Edmund M. Clarke,et al. Model Checking , 1999, Handbook of Automated Reasoning.
[43] Michael Collins,et al. Ranking Algorithms for Named Entity Extraction: Boosting and the VotedPerceptron , 2002, ACL.
[44] Y HalpernJoseph,et al. Responsibility and blame , 2004 .
[45] Andreas Krause,et al. Advances in Neural Information Processing Systems (NIPS) , 2014 .
[46] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[47] David B. Leake,et al. Goal-driven learning , 1995 .
[48] Subbarao Kambhampati,et al. Hierarchical Strategy Learning with Hybrid Representations , 2007, AAAI 2007.
[49] Roni Khardon,et al. Learning Action Strategies for Planning Domains , 1999, Artif. Intell..
[50] Hector Muñoz-Avila,et al. HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required , 2008, AAAI.
[51] Deborah L. McGuinness,et al. Towards the Explanation of Workflows , 2009, ExaCt.
[52] Winton H. E. Davies. Communication of inductive inference , 1999 .
[53] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[54] Daniel Bryce,et al. MABLE: a framework for learning from natural instruction , 2009, AAMAS.
[55] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[56] Peter Edwards,et al. The Communication of Inductive Inferences , 1996, ECAI Workshop LDAIS / ICMAS Workshop LIOME.
[57] John Langford,et al. Search-based structured prediction , 2009, Machine Learning.
[58] Peter Bakker,et al. Robot see, robot do: An overview of robot imitation , 1996 .
[59] Bart Selman,et al. Learning Declarative Control Rules for Constraint-BAsed Planning , 2000, ICML.