Connectionists: CfP: 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 or 15, 2018. This workshop is part of the Federated AI Meeting
(FAIM) which includes ICML/IJCAI/AAMAS/ICCBR.IMPORTANT
INFORMATION************************************************Website:
https://sites.google.com/view/llarla2018/
<https://sites.google.com/view/llarla2018>Date: 14 or 15 July 2018Location:
Stockholm, SwedenSubmission deadline: 23rd May 2018, 11:59 PM (Anywhere on
Earth)OVERVIEW************************************************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************************************************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 23rd May 2018,
11:59 PM(Anywhere on Earth). Submissions must be made through
easychair:https://easychair.org/conferences/?conf=llarla2018
<https://easychair.org/conferences/?conf=llarla2018> ​​ AREAS OF
INTEREST************************************************ - 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 domainsFor more info see our
website <https://sites.google.com/view/llarla2018/>.WORKSHOP
ORGANIZERS************************************************Sarath Chandar -
University of MontrealTom Zahavy - Technion Israel Institute of
TechnologyDaniel J. Mankowitz - Technion Israel Institute of
TechnologyBalaraman Ravindran - Indian Institute of TechnologyShie Mannor -
Technion Israel Institute of TechnologyWe look forward to reviewing your
submissions and hope to see you in Stockholm!Kind regards,Sarath, Tom,
Daniel, Ravi, and ShieLifelong Learning: A Reinforcement Learning Approach
Workshop organizers*
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