SUBMISSION

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The submitted work should be an extended abstract of between 4-6 pages (including references). The submission should be in pdf format and should follow the style guidelines for ICML 2017 (found here). The review process is double-blind and the work should be submitted by the latest 13th June 2017 (previously 6th June 2017), 11:59 PM (GMT+2). Submissions must be made through Easychair: 

 

https://easychair.org/conferences/?conf=llicml2017.

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TOPICS​

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The topics of interest include but not limited to

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• Using Hierarchical Abstractions to perform lifelong learning (e.g., skills/options and state space representations)

• Transfer Learning

• Multi-task Learning

• Curriculum Learning

• Deep Learning as a tool for performing lifelong learning

• Determine new, challenging benchmark domains

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