Publications associées à Supervisory teleoperation with online learning and optimal control

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Volkan Cevher, Efstratios Panteleimon Skoulakis, Luca Viano

We present a new algorithm for imitation learning in infinite horizon linear MDPs dubbed ILARL which greatly improves the bound on the number of trajectories that the learner needs to sample from the environment. In particular, we re- move exploration assu ...

2024

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Jibril Albachir Frej, Tatjana Nazaretsky

The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. These systems often combine neural networks with Knowledge Graphs (KGs) to achieve richer representations of learners ...

2023

Revisiting adversarial training for the worst-performing class

Volkan Cevher, Grigorios Chrysos, Thomas Michaelsen Pethick

Despite progress in adversarial training (AT), there is a substantial gap between the topperforming and worst-performing classes in many datasets. For example, on CIFAR10, the accuracies for the best and worst classes are 74% and 23%, respectively. We argu ...

2023

Designing Tools and Activities for Educational Robotics in Online Learning

Christian Giang, Evgeniia Bonnet

The COVID-19 pandemic and the subsequent school closures created several challenges for teachers and students. From one day to the next, teachers had to rethink their educational activities and move to remote learning. Especially with regard to educational ...

IGI Global2021

Accessible Maker-based Approaches to Educational Robotics in Online Learning

Francesco Mondada, Laila Abdelsalam El-Hamamsy, Christian Giang, Amaury Robert Dame, Aditya Mehrotra, Anthony Guinchard

Educational Robotics holds the potential to promote the development of important 21st century skills, such as creativity and problem-solving skills in addition to digital literacy. However, the emergence of the Covid-19 pandemic has posed particular obstac ...

2021

Adaptive Social Learning

Ali H. Sayed, Virginia Bordignon

This work proposes a novel strategy for social learning by introducing the critical feature of adaptation. In social learning, several distributed agents update continually their belief about a phenomenon of interest through: i) direct observation of strea ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

Rachid Guerraoui, Anne-Marie Kermarrec, Rhicheek Patra, Georgios Damaskinos, Vlad-Tiberiu Nitu

Federated Learning (FL) is very appealing for its privacy benefits: essentially, a global model is trained with updates computed on mobile devices while keeping the data of users local. Standard FL infrastructures are however designed to have no energy or ...

Association for Computing Machinery2020

Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application

Denis Gillet, Juan Carlos Farah, Adrian Christian Holzer

Computational thinking courses are no longer exclusive to engineering and computer science students in higher education but have become a requirement in other fields, as well as for students in secondary, primary, and even early childhood education. Comput ...

2020

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Supervisory teleoperation with online learning and optimal control

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Revisiting adversarial training for the worst-performing class

Emergency adaptation to distance learning: no magic bullet, but where there’s a will, there’s a way

Designing Tools and Activities for Educational Robotics in Online Learning

Accessible Maker-based Approaches to Educational Robotics in Online Learning

Adaptive Social Learning

FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

Private and Secure Distributed Learning

Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application

Graph Chatbot

Chattez avec Graph Search

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Designing Tools and Activities for Educational Robotics in Online Learning

Adaptive Social Learning

Revisiting adversarial training for the worst-performing class

Emergency adaptation to distance learning: no magic bullet, but where there’s a will, there’s a way

FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

Accessible Maker-based Approaches to Educational Robotics in Online Learning

Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application

Private and Secure Distributed Learning