Research Interests
- Machine Learning: reinforcement learning, sequential decision making, bandits
Pre-publications
- Adrienne Tuynman, Rémy Degenne, Emilie Kaufmann (2024). Finding good policies in average-reward Markov Decision Processes without prior knowledge
- Adrienne Tuynman, Ronald Ortner (2022). Transfer in Reinforcement Learning via Regret Bounds for Learning Agents
News
- [26-27 October 2023] I participated to the RJMI at the Inria center of Lille, introducing a group of highschool girls to the world of scientific research, and supervising them as they worked through an open mathematical problem.
- [October 2023] I started my PhD about fixed budget best arm identification with Emilie Kaufmann and Rémy Degenne at the Inria center of Lille in the Scool team.
- [Spring and summer 2023] I conducted my final Master’s internship with Emilie Kaufmann and Rémy Degenne at the Inria center of Lille in the Scool team about best policy identification in average reward RL.
- [September 2022] We presented our paper about transfer learning at EWRL 2022.
- [Spring and summer 2021] I conducted an internship with Ronald Ortner at the Montanuniversität Leoben about transfer learning in average reward RL.
- [Summer 2020] I conducted a month long internship with Philippe Preux at the Inria center of Lille in the SequeL team.
Teaching
Academic year 2023-2024
I was the TA for the course “Bases mathématiques” in the first semester, and for the Cryptography course in the second semester for the mathematics Master’s of the Lille University