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Home / Proceedings / AAAI Workshop Papers 2006 /

Learning for Search

Contents

  • Storing Learnt (No)Goods in ROBDDs for Solving Structured CSPs

    Karim Boutaleb, Philippe Jégou, Cyril Terrioux

    PDF
  • Discrepancy Search with Reactive Policies for Planning

    Sungwook Yoon

    PDF
  • Value Back-Propagation versus Backtracking in Real-Time Heuristic Search

    Sverrir Sigmundarson, Yngvi Björnsson

    PDF
  • Directing a Portfolio with Learning

    Mark Roberts, Adele E. Howe

    PDF
  • An Empirical Evaluation of Automated Knowledge Discovery in a Complex Domain

    Jay H. Powell, John D. Hastings

    PDF
  • Relative Support Weight Learning for Constraint Solving

    Smiljana Petrovic, Susan Epstein

    PDF
  • Lookahead Pathology in Real-Time Path-Finding

    Mitja Lustrek, Vadim Bulitko

    PDF
  • nLRTS: Improving Distance Vector Routing in Sensor Networks

    Greg Lee, Vadim Bulitko, Ioanis Nikolaidis

    PDF
  • Some Active Learning Schemes to Acquire Control Knowledge for Planning

    Raquel Fuentetaja, Daniel Borrajo

    PDF
  • Transfer of Learned Heuristics among Planners

    Susana Fernandez, Ricardo Aler, Daniel Borrajo

    PDF
  • Replaying Type Sequences in Forward Heuristic Planning

    Tomas de la Rosa, Daniel Borrajo, Angel Garcia Olaya

    PDF
  • State Abstraction for Real-time Moving Target Pursuit: A Pilot Study

    Vadim Bulitko, Nathan Sturtevant

    PDF
  • Contents

    Wheeler Ruml, Frank Hutter

    PDF
  • Real-Time Adaptive A*

    Sven Koenig, Maxim Likhachev

    PDF
  • PAC Reinforcement Learning Bounds for RTDP and Rand-RTDP

    Alexander L. Strehl, Lihong Li, Michael L. Littman

    PDF
  • Prioritized-LRTA*: Speeding Up Learning Via Prioritized Updates

    D. Chris Rayner, Katherine Davison, Vadim Bulitko, Jieshan Lu

    PDF
  • Toward Discriminative Learning of Planning Heuristics

    Yuehua Xu, Alan Fern

    PDF
  • Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms: An Initial Investigation

    Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevin Leyton-Brown

    PDF
  • Estimating Search Tree Size

    Philip Kilby, John Slaney, Sylvie Thiebaux, Toby Walsh

    PDF
  • Disco – Novo – GoGo: Integrating Local Search and Complete Search with Restarts

    Meinolf Sellmann, Carlos Ansotegui

    PDF
  • Learning from Failure in Constraint Satisfaction Search

    Diarmuid Grimes, Richard J. Wallace

    PDF
  • The Effect of Restarts on the Efficiency of Clause Learning

    Jinbo Huang

    PDF
  • Preface

    Wheeler Ruml, Frank Hutter

    PDF

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