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LLARLA 2018 : 2nd Workshop on Lifelong Learning: A Reinforcement Learning Approach @ICML/IJCAI 2018.

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Link: https://sites.google.com/view/llarla2018/home
 
When Jul 14, 2018 - Jul 15, 2018
Where Stockholm, Sweden
Submission Deadline May 23, 2018
Notification Due Jun 10, 2018
Final Version Due Jul 5, 2018
Categories    machine learning   reinforcement learning   deep learning   artificial intelligence
 

Call For Papers

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

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

Date: 14 or 15 July 2018

Location: Stockholm, Sweden

Submission deadline: 23rd May 2018, 11:59 PM (Anywhere on Earth)


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 23rd May 2018, 11:59 PM(Anywhere on Earth). Submissions must be made through easychair:

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



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.


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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