Tristan Tomilin

According to our database, Tristan Tomilin authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning.

Tristan Tomilin, Luka van den Boogaard, Samuel Garcin, Bram Grooten, Meng Fang, Mykola Pechenizkiy

CoRR, June, 2025

SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas.

Zihao Guo, Richard Willis, Shuqing Shi, Tristan Tomilin, Joel Z. Leibo, Yali Du

CoRR, March, 2025

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents.

Tristan Tomilin, Meng Fang, Mykola Pechenizkiy

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Safe Multi-agent Reinforcement Learning with Natural Language Constraints.

Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du

CoRR, 2024

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, 2024

2023

COOM: A Game Benchmark for Continual Reinforcement Learning.

Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning.

Tristan Tomilin, Tianhong Dai, Meng Fang, Mykola Pechenizkiy

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022