LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning. - Tristan Tomilin; Tianhong Dai; Meng Fang; Mykola Pechenizkiy (CoG, 2022)

COOM: A Game Benchmark for Continual Reinforcement Learning. - Tristan Tomilin; Meng Fang; Yudi Zhang 007; Mykola Pechenizkiy (NeurIPS, 2023)

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 (AAMAS, 2024)

Safe Multi-agent Reinforcement Learning with Natural Language Constraints. - Ziyan Wang; Meng Fang; Tristan Tomilin; Fei Fang 001; Yali Du 001 (CoRR, 2024)

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents. - Tristan Tomilin; Meng Fang; Mykola Pechenizkiy (ICLR, 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 001 (CoRR, 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, 2025)