Publication
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Related publications (34)
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 ...
2023Revisiting 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 ...
2023Emergency adaptation to distance learning: no magic bullet, but where there’s a will, there’s a way
Whilst, in many countries, the sudden enforced transfer to large-scale distance learning in state schools as a result of COVID_19 lockdown measures caused turmoil, it also provided an unprecedented opportunity to understand more about key factors associate ...
2022Adaptive 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 INC2021Designing 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 Global2021Accessible 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 ...
2021FLeet: 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 Machinery2020Bringing 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 ...
2020Learning 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.2020Discovery 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