PhD and MSc Theses
PhD and MSc Theses, since 1988
Student’s Name |
Graduation Year |
Degree |
Abstracts |
Research Name |
Jurgenson Tom |
2023 |
PhD |
Abstracts |
Learning Algorithms for Neural Motion Planning |
Avineri Gal |
2024 |
MSc |
Abstracts |
Offline Meta-RL: Practical Algorithmic Improvements |
Choshen Era |
2023 |
MSc |
Abstracts |
Contrastive Bayes-Adaptive Deep Reinforcement Learning |
Endrawis Shadi |
2022 |
MSc |
Abstracts |
Efficient Self-Supervised Data Collection for Offline Robot Learning |
Bar-Zur Roi |
2021 |
MSc |
Abstracts |
Finding Optimal Strategies in Blockchain Protocols with Reinforcement Learning |
Avner Or |
2023 |
MSc |
Abstracts |
Learning Control by Iterative Inversion |
Rabinovitz Carmel |
2022 |
MSc |
Abstracts |
Learning Unsupervised Domain-Invariant Image Representations for Manipulation with Contrastive Domain Randomization |
Yehezkel Ido |
2022 |
MSc |
Abstracts |
Reinforcement Learning for Traffic Routing in Computer Networks |
Dorfman Ron |
2021 |
MSc |
Abstracts |
Offline Meta Reinforcment Learning of Efficient Exploration |
Daniel Tal |
2020 |
MSc |
Abstracts |
Deep Variational Semi-Supervised Novelty Detection |