Connectionists: CFP: IMOL 2023 -- Intrinsically-Motivated Open-ended Learning

Georg Martius georg.martius at tuebingen.mpg.de
Tue Apr 25 11:35:09 EDT 2023


Dear Colleagues,	
		
We are pleased to announce the **Sixth International Workshop on 
Intrinsically-Motivated Open-ended Learning (IMOL2023)**, which will be 
held at the Science campus of
**Sorbonne University (Pierre et Marie Curie), in Paris center** (France)
on *September 13-15th 2023*.

Following the five previous workshops, IMOL 2023 will further explore 
the advancements of intrinsically motivated open-ended lifelong 
learning. The workshop aims to be a highly interactive event with 
high-profile keynote presentations and the participation of an audience 
of about 60 people. It will foster close interaction among the 
participants with discussions, poster sessions, and collective round 
tables directed towards specific objectives.

**Participating in IMOL2023**		
Participation in the workshop is free of charge but, given the specific 
nature of the meeting, is limited to a restricted number of people. 
Prospective attendees should submit either a brief statement of 
motivation or (preferably) an abstract to be presented as a poster or 
contributed talk.

**Important Dates:**
Abstract submission and registration deadline: **July 10, 2023** 
(instructions at https://imolconf2023.github.io/)
Conference dates: **13th to the 15th of September 2023**

Topics of interest involve open-ended lifelong learning in autonomous 
agents and robots, for example:
Autonomous robot open-ended learning
Architectures for open-ended learning
Multi-task reinforcement learning
Deep reinforcement learning
Intrinsic motivations
Curriculum learning
Goal self-generation
Open-ended development
Quality Diversity methods
Multiple task solution and parameterized skills
Neural/probabilistic representations and abstractions
Goal-based skill learning
Knowledge transfer and avoidance of catastrophic forgetting
Compositionality and chunking
Abstraction and hierarchies of goals and skills
Visual planning and problem solving
Mitigating risks of real-world deployment of open-ended learning systems
Language-based reinforcement learning

Confirmed Speakers
- Richard Duro, Universidad Coruña
- Olivier Sigaud, Sorbonne University
- Matej Hoffmann, Czech Technical University
- Gianluca Baldassarre, Italian National Research Council (CNR)
- Junyi Chu, MIT
- Emre Ugur, Bogazici University
- Fei Xu, UC Berkeley
- Jeff Clune, University of British Columbia
- Sylvain Calinon, IDIAP/EPFL
- Pierre-yves Oudeyer, INRIA
- Tamim Asfour, KIT

The organizers of IMOL’23:
Stéphane Doncieux
Georg Martius
Sao Mai Nguyen
Emre Ugur
Johann Huber

-- 
-----------------------------------------------------------------
Dr. Georg Martius
Phone: +49 7071 601 1719
Office: N-1.015/1 (floor minus one)
Group Leader
Autonomous Learning Group
Max Planck Institute for Intelligent Systems
Max-Planck-Ring 4, 72076 Tuebingen, Germany


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