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Home / Proceedings / Papers from the 2013 AAAI Spring Symposium /

No. 5: Lifelong Machine Learning

All Papers

  • Information-Theoretic Objective Functions for Lifelong Learning

    Byoung-Tak Zhang

    PDF
  • Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract)

    Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis Vlahavas

    PDF
  • Multi-Engine Machine Translation as a Lifelong Machine Learning Problem

    Christian Federmann

    PDF
  • Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm

    Mohsen Ghafoorian, Nasrin Taghizadeh, Hamid Beigy

    PDF
  • Towards Pareto Descent Directions in Sampling Experts for Multiple Tasks in an On-Line Learning Paradigm

    Shaona Ghosh, Chris Lovell, Steve R. Gunn

    PDF
  • Lifelong Learning of Structure in the Space of Policies

    Majd Hawasly, Subramanian Ramamoorthy

    PDF
  • Learning Sensorimotor Concepts Without Reinforcement

    Yasser F. O. Mohammad, Toyoaki Nishida

    PDF
  • Scalable Lifelong Learning with Active Task Selection

    Paul Ruvolo, Eric Eaton

    PDF
  • Online Object Representation Learning and Its Application to Object Tracking

    Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Mohsen Fadaee

    PDF
  • The Consolidation of Task Knowledge for Lifelong Machine Learning

    Daniel L. Silver

    PDF
  • Lifelong Machine Learning Systems: Beyond Learning Algorithms

    Daniel L. Silver, Qiang Yang, Lianghao Li

    PDF
  • Hashing for Lightweight Episodic Recall

    Scott A Wallace, Evan Dickinson, Andrew Nuxoll

    PDF

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