Connectionists: Final CfP [Deadline extended]: 2nd Workshop on Lifelong Learning: A Reinforcement Learning Approach @ICML/IJCAI 2018.

[Sarath Chandar]

Dear Colleagues,


We would like to invite you to submit extended abstracts of between 4-8
pages to our 'Lifelong Learning: A Reinforcement Learning Approach'
ICML/IJCAI 2018 Workshop which will be held in Stockholm, Sweden on July
14, 2018. This workshop is part of the Federated AI Meeting (FAIM) which
includes ICML/IJCAI/AAMAS/ICCBR.

IMPORTANT INFORMATION

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Website: https://sites.google.com/view/llarla2018/

Date: 14 July 2018

Location: Stockholm, Sweden

Submission deadline: 30th May 2018, 11:59 PM (Anywhere on Earth)


The deadline has been extended from 23rd May to 30th May due to several
requests.


Also, now we have student paper awards worth 1000 USD sponsored by DeepMind!



OVERVIEW

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One of the most challenging and open problems in Artificial Intelligence
(AI) is that of Lifelong Learning:

“Lifelong Learning is the continued learning of tasks, from one or more
domains, over the course of a lifetime, by a lifelong learning system. A
lifelong learning system efficiently and effectively (1) retains the
knowledge it has learned; (2) selectively transfers knowledge to learn new
tasks; and (3) ensures the effective and efficient interaction between (1)
and (2).”

Lifelong learning is still in its infancy. Many issues currently exist such
as learning general representations, catastrophic forgetting, efficient
knowledge retention mechanisms and hierarchical abstractions.  Much work
has been done in the Reinforcement Learning (RL) community to tackle
different elements of lifelong learning. Active research topics include
hierarchical abstractions, transfer learning, multi-task learning and
curriculum learning. With the emergence of powerful function approximators
such as in Deep Learning, we feel that now is a perfect time to provide a
forum to discuss ways to move forward and provide a truly general lifelong
learning framework, using RL-based algorithms, with more rigor than ever
before. This workshop will endeavor to promote interaction between
researchers working on the different elements of lifelong learning to try
and find a synergy between the various techniques.

SUBMISSION

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The submitted work should be an extended abstract of between 4-8 pages
(including references). The submission should be in pdf format and should
follow the style guidelines for ICML 2018. The review process is
double-blind and the work should be submitted by the latest 30th May 2018,
11:59 PM (Anywhere on Earth). Submissions must be made through easychair:

https://easychair.org/conferences/?conf=llarla2018 ​​



There will be no formal publication of workshop proceedings. However, the
accepted papers will be made available online on the workshop website.

AREAS OF INTEREST

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   -

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

   Catastrophic forgetting in lifelong learning
   -

   Transfer Learning
   -

   Multi-task Learning
   -

   Curriculum Learning
   -

   Meta-Learning
   -

   Deep Learning as a tool for performing lifelong learning
   -

   Determine new, challenging benchmark domains


For more info see our website <https://sites.google.com/view/llarla2018/>.

WORKSHOP ORGANIZERS

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Sarath Chandar - University of Montreal

Tom Zahavy - Technion Israel Institute of Technology

Daniel J. Mankowitz - Technion Israel Institute of Technology

Balaraman Ravindran - Indian Institute of Technology

Shie Mannor - Technion Israel Institute of Technology

We look forward to reviewing your submissions and hope to see you in
Stockholm!

Kind regards,

Sarath, Tom, Daniel, Ravi, and Shie

Lifelong Learning: A Reinforcement Learning Approach Workshop organizers
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