SeLIE23

Conference Scope

Self-learning systems are artificial agents able to acquire and renew knowledge over time without 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 initially interacts with its users or surrounding environment by attempting and observing the changes produced by its actions. This workshop will focus on the design, implementation and exploitation of self-learning features within an Intelligent Environment or some of its components. The workshop will represent an opportunity for academia and industry to debate the state-of-the-art challenges and open issues.

Topics

Areas of interest and application fields include, but are not limited to, the following ones

Reinforcement Learning and Inverse Reinforcement Learning
Imitation Learning
Learning-by-Demonstration
Safe Self-Learning
Multi-Agent Reinforcement Learning
Hierarchical Reinforcement Learning
Environment modeling
Partially observable environments
Reward engineering
Exploitation VS Exploration trade-off
Hyperparameters optimization
Applications and case studies

Application fields:

Automotive
Robotics
Healthcare
Finance
Gaming
Business management
Resource management

Organization

General Chairs:

Antonio Coronato

Università Giustino Fortunato - Benevento Italy

Patrizia Ribino

Institute for high performance computing and networking (ICAR-CNR) Italy

Programme Chairs:

Muddasar Naeem

Università Giustino Fortunato - Benevento Italy

Massimo Esposito

Institute for high performance computing and networking (ICAR-CNR) Italy

WWW & Social Media Chair:

Angelo Esposito

CNR-ICAR (Italy)

Organizers

Venue

The workshop will be held within the 19th International Conference on Intelligent Environments (IE’23 - https://ie2023.mdxmru.com/) Uniciti, Flic-en-Flac, Mauritius on 27-28 June 2023.

Important Dates

Submission Deadline:28th March 2023
Notification to Authors:5 April 2023
Camera Ready Deadline: 15th April 2023
Workshop dates: June 27 – 28 June 2023

Guidelines for 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.

The submission system for this workshop is based on EasyChair. Papers must be submitted using this link: https://easychair.org/conferences/?conf=selie23

All submitted papers will be submitted to a peer-review process by referees with expertise in the area. This process will result in constructive feedback to the authors and the selection of the best contributions to be presented in the workshop and published in the proceedings.

Publication

All papers accepted will be published in the proceedings of the event which will be an Open Access volume in the Book Series on Ambient Intelligence and Smart Environments Series (IOS Press). As of 2015, the Workshops Proceedings published by this Book Series are indexed in the Conference Proceedings Citation Index – Science (CPCI-S) by Thomson Reuters. Previous editions were indexed by Scopus.

Attendance

At least one author of each accepted paper is required to register and attend the workshop to present the paper.