SeLIE’22 – The second International Workshop on

Self-Learning in Intelligent Environments
(SeLIE’22)

June 20 - June 21 2022, Biarritz, France

Aims and Scope

Aims and scope

Self-learning systems are artificial agents able to acquire and renew knowledge over the time by themselves, without any hard coding. These are adaptive systems whose functions improve by a learning process based -typically- on the method of trial and error. A self-learning system interacts with its users or surrounding environment initially by attempts and observes the changes produced by its actions. This workshop will focus on the design, implementation and exploitation of self-learning features either within an Intelligent Environment as a whole, or within some of its components. The workshop will represent an opportunity for both the academia and industry to debate the state-of-the-art, challenges and open issues.


Important Dates

  • Submission Deadline: 28th February 2022 15th March 2022
  • Notification to Authors: 4th April 2022 8th April 2022
  • Camera Ready Deadline: 18th April 2022 20th April 2022
  • Workshop dates: Jun 20 - Jun 21 2022

Special Issues

An extended version of selected papers will be considered for publishing in a Journal Special Issue


Best paper award

The best paper will be awarded a certificate.


Keywords

  • Self-Learning methods:
    • Reinforcement Learning and Inverse Reinforcement Learning
    • Imitation Learning
    • Learning-by-Demonstration
    • Safe Self-Learning
  • Technical issues
    • Environment modeling
    • Partially observable environments
    • Reward engineering
    • Exploitation VS Exploration trade-off
    • Hyperparameters optimization
    • Multi-Agent Reinforcement Learning
    • Hierarchical Reinforcement Learning
    • Safe Reinforcement Learning
  • Self-Learning application fields:
    • Automotive
    • Robotics
    • Healthcare
    • Finance
    • Gaming
    • Business management
    • Resource management

Organization

General Chairs:


Antonio Coronato

CNR-ICAR (Italy)


Ayşegül UÇAR

Firat University Elazig (Turkey)

Programme Chairs:


Patrizia Ribino

CNR-ICAR (Italy)

Program Committee:


Claudia Di Napoli

CNR-ICAR (Italy)


Salima Hassas

University Claude Bernard (France)


Muddasar Naeem

University La Parthenope (Italy)


Giovanni Paragliola

CNR-ICAR (Italy)


Stefano Borgo

CNR-ISTC (Italy)


Andrea Orlandini

CNR-ISTC (Italy)


Frederic Migeon

University Paul Sabatier (France)

WWW & Social Media Chair:


Angelo Esposito

CNR-ICAR (Italy)



Submission

Authors wishing to participate in this event should format their papers according to the IOS Press style, with a length of at least 6 but no more than 10 pages.​ Latex and Word templates can be found in https://www.iospress.com/book-article-instructions

Submission page:
https://easychair.org/conferences/?conf=selie22

All papers accepted in the Workshops program will be published as a volume of the Ambient Intelligence and Smart Environments Series of IOS Press and electronically available through ACM Digital Library (pending approval). The proceedings will be ISI indexed.


Venue

The workshop will be co-located with the 18th International Conference on Intelligent Environments (IE2022) will be held in Biarritz, France, from June 20th to June 23rd.

Sponsors


Program

Self-Learning in Intelligent Environments (SeLIE’22) - June 21st, 2022

[9:10 – 9:15] OPENING

[9:15 – 10:30] SESSION 1

  1. Self-Development and Causality in Intelligent Environments Matteo MARTINELLI, Stefano MARIANI, Marco LIPPI and Franco ZAMBONELLI

  2. A RL based Model for Improving Human Task Management Performance Muddasar NAEEM, Valeriano FABRIS, and Antonio CORONATO

  3. Inverse Reinforcement Learning based Approach for Investigating Optimal Dynamic Treatment Regime Syed Ihtesham Hussain Shah, Antonio Coronato and Muddasar Naeem

[10:30 – 11:00] COFFEE BREAK

[11:00 – 11:40] KEYNOTE - Investigating on the ability of Transformer-based Neural language models to learn syntax
Stefano Silvestri – ICAR@CNR

[11:40 – 12:30] SESSION 2

  1. A Multi-Agent RL Algorithm for Single-Day Operating Room Scheduling Patrizia RIBINO, Claudia DI NAPOLI and Luca SERINO

  2. WORKSHOP PERSPECTIVE/CLOSURE
    3.



Previous Editions

SeLIE’21