Tristan Tomilin

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 5

Top Topics

Natural Language

Benchmark Suite

Reinforcement Learning

Top Venues

Publications

Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. AAMAS (2024)
Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
Safe Multi-agent Reinforcement Learning with Natural Language Constraints. CoRR (2024)
Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy
COOM: A Game Benchmark for Continual Reinforcement Learning. NeurIPS (2023)
Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. CoRR (2023)
Tristan Tomilin, Tianhong Dai, Meng Fang, Mykola Pechenizkiy
LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning. CoG (2022)