Publications related to Imitation Learning in Discounted Linear MDPs without exploration assumptions

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

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

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

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

Learning to Play Sequential Games versus Unknown Opponents

Maryam Kamgarpour, Andreas Krause, Ilija Bogunovic

We consider a repeated sequential game between a learner, who plays first, and an opponent who responds to the chosen action. We seek to design strategies for the learner to successfully interact with the opponent. While most previous approaches consider k ...

Curran Associates, Inc.2020

Discovery and Temporal Analysis of MOOC Study Patterns

Pierre Dillenbourg, Mina Shirvani Boroujeni

The large-scale and granular interaction data collected in online learning platforms such as massive open online courses (MOOCs) provide unique opportunities to better understand individuals' learning processes and could facilitate the design of personaliz ...

2019

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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

Adaptive Social Learning

Designing Tools and Activities for Educational Robotics in Online Learning

Accessible Maker-based Approaches to Educational Robotics in Online Learning

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

Learning to Play Sequential Games versus Unknown Opponents

Discovery and Temporal Analysis of MOOC Study Patterns

Graph Chatbot

Chat with Graph Search

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

Discovery and Temporal Analysis of MOOC Study Patterns

Learning to Play Sequential Games versus Unknown Opponents

Adaptive Social Learning

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