posted by user: sadegh_rk || 404 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

ICBDB 2022   2022 4th International Conference on Big Data and Blockchain(ICBDB 2022)
BNAIC/BENELEARN 2022   BNAIC/BENELEARN 2022 : The 34rd Benelux Conference on Artificial Intelligence and the 31th Belgian Dutch Conference on Machine Learning
IOP, EI, Scopus-PRECE 2022   2022 International Conference on Power, Renewable Energy and Control Engineering (PRECE 2022)-EI Compendex
MLDM 2023   18th International Conference on Machine Learning and Data Mining
IARCE 2022   2022 6th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2022)
CFDSP 2023   2023 International Conference on Frontiers of Digital Signal Processing (CFDSP 2023)
SIUSAI 2023   2023 International Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2023)
IJCNN 2023   International Joint Conference on Neural Networks
AI 2022   8th International Conference on Artificial Intelligence and Applications
WSPML 2022   2022 4rd International Workshop on Signal Processing and Machine Learning (WSPML 2022)