About
Tristan Tomilin
I am a PhD candidate at the Technical University of Eindhoven advised by Mykola Pechenizkiy and Meng Fang. My research interests span across several domains of Reinforcement Learning, including continual learning, multi-agent systems, and safe RL. Central to my work is the pursuit of creating more robust, reliable, and meaningful simulation environments that enhance the development and evaluation of AI systems.
News
Publications
HASARD: A Benchmark for Embodied Safe Reinforcement Learning
Tristan Tomilin, Meng Fang, Mykola Pechenizkiy
Proceedings of the 13th International Conference on Learning Representations (ICLR 2025)
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
Proceedings of the GenAI4DM Workshop at the 12th International Conference on Learning Representations (ICLR 2024)
COOM: A Game Benchmark for Continual Reinforcement Learning
Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), Datasets and Benchmarks Track
LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning
Tristan Tomilin, Tianhong Dai, Meng Fang, Mykola Pechenizkiy
Proceedings of the 2022 IEEE Conference on Games (CoG 2022)
Resume
Education
PhD in Deep Reinforcement Learning
11/2021 - Present
Eindhoven University of Technology, Eindhoven, The Netherlands
Supervisors: Prof. Meng Fang and Prof. Mykola Pechenizkiy
MSc in Data Science in Engineering
09/2019 - 08/2021
Eindhoven University of Technology, Eindhoven, The Netherlands
Title: GViZDoom: A Benchmark for Generalization of FPS Games in Deep Reinforcement Learning
BSc in Information Technology, Informatics
09/2013 - 06/2016
Tallinn University of Technology, Tallinn, Estonia
Professional Experience
PhD Researcher
11/2021 - Present
Eindhoven University of Technology, Eindhoven, The Netherlands
Machine Learning Engineer
04/2021 - 11/2021
Awaves B.V., Enschede, The Netherlands
Data Scientist
02/2021 - 04/2021
OpenML, Eindhoven, The Netherlands
Full-Stack Developer
04/2019 - 09/2019
Nortal AS, Tallinn, Estonia
Software Developer
10/2017 - 04/2019
Ardera OÜ, Tallinn, Estonia
Software Engineer
06/2015 - 11/2018
SEB Pank AS, Tallinn, Estonia
Contact
Location
Eindhoven, The Netherlands
t.tomilin@tue.nl