Scholar
Remo Sasso
Google Scholar ID: KBt4nqgAAAAJ
PhD student, Queen Mary University of London
Citations & Impact
Citations
62
H-index
4
i10-index
4
Publications
8
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- 1. 'Posterior Sampling for Deep Reinforcement Learning', International Conference on Machine Learning (ICML), 2023.
- 2. 'Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning', Transactions on Machine Learning Research (TMLR), 2023.
Research Experience
- AI Developer at xDNA, working on tools for fact-checking (Project Aletheia) and large-scale object recognition.
Education
- Ph.D. candidate at Queen Mary University of London, supervised by Paulo Rauber.
Background
- Research interests: developing scalable and sample-efficient reinforcement learning algorithms, with a particular emphasis on Large Language Models, Vision Language Models, Bayesian methods, and model-based approaches.
