posted by user: sadegh_rk || 1087 views || tracked by 1 users: [display]

RL-CONFORM 2022 : 2nd RL-CONFORM Workshop: Reinforcement Learning meets HRI, Control, and Formal Methods

FacebookTwitterLinkedInGoogle

Link: https://rlconform-workshop.github.io/
 
When Oct 23, 2022 - Oct 27, 2022
Where Kyoto, Japan
Submission Deadline Sep 1, 2022
Notification Due Sep 12, 2022
Final Version Due Sep 19, 2022
Categories    formal methods   control   human-robot interaction
 

Call For Papers

AIM AND SCOPE

Reinforcement Learning (RL) is promising for continuous learning and discovery of optimal policies for complex tasks. However, a major open challenge is the safety and robustness of decision-making for RL systems that has involved efforts from a variety of communities, including RL, human-robot interaction (HRI), control, and formal methods (FM).

The aim of this multidisciplinary workshop is to bring together researchers both in industry and academia from these communities to identify and clearly define key challenges and propose and debate existing approaches related to safe and robust exploration, formal safety and stability guarantees of control systems, safety in physical human-robot collaborative systems, and discuss methods and benchmarks to accelerate safe and robust RL research. To share ideas between communities, this workshop is designed to encourage fruitful and lively discussions between researchers and is open to anyone.

TOPICS OF INTEREST

Based on the target areas and the discussions during our RL-CONFORM workshop at last year’s IROS, topics of interest include but are not limited to:

* Data-efficiency, sim-to-real gap, and guided exploration in RL;
* Safety guarantees, shielding, invariant sets, and online verification;
* Stability, Lyapunov functions, controllability, and model identification;
* Query sample-efficiency, human-robot interaction, learning from demonstration, and human feedback;
* Existing and new benchmarks to accelerate safe and robust RL research.



CALL FOR CONTRIBUTIONS

We invite extended abstract submissions of preliminary or ongoing work related to the topics of interest on safety and robustness in RL. All accepted abstracts will have the opportunity to be presented at the workshop during a short paper presentation session, in which the authors have a chance to present their work in a 5-minute presentation and engage in a 3-minute live Q&A session. This is a non-archival venue: there will be no formal proceedings, but we strongly encourage the authors to publish their extended abstracts on arXiv; links to the papers will be placed on the workshop’s website and will remain available after the workshop. Abstracts may be submitted to other venues in the future.

==============================

Invited Speakers and Panelists:

* Jeanette Bohg , Stanford University, USA.
* Georgia Chalvatzaki, TU Darmstadt, Germany.
* Bradley Hayes , University of Colorado, USA.
* Nils Jansen , Radboud University Nijmegen, the Netherlands.
* Hadas Kress-Gazit , Cornell University, USA.
* Scott Niekum , University of Texas, USA.
* Fabio Ramos , University of Sydney, Australia, and NVIDIA, USA.
* Tesca Fitzgerald, Carnegie Mellon University, USA

====================

Organizing Committee:

* Christian Pek, KTH Royal Institute of Technology, Sweden.
* Alexis Linard, KTH Royal Institute of Technology, Sweden.
* Sanne van Waveren, KTH Royal Institute of Technology, Sweden.
* Hang Yin, KTH Royal Institute of Technology, Sweden.

Related Resources

Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
MLNLP 2024   2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP 2024)
ICoSR 2024   2024 3rd International Conference on Service Robotics
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
SPIE-Ei/Scopus-CVCM 2024   2024 5th International Conference on Computer Vision, Communications and Multimedia (CVCM 2024) -EI Compendex
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
ICoIV 2024   2024 International Conference on Intelligent Vehicles (ICoIV 2024)
NYC-2024-ML 2024   New York Annual Conference on Machine Learning 2024
ITCCMA 2024   11th International Conference on Information Technology, Control, Chaos, Modeling and Applications