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Tristan Tomilin

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2024
[c3]
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  - conf/atal/GrootenTVTMFPM24
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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: 733-742
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  - journals/corr/abs-2405-20018
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Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du:
Safe Multi-agent Reinforcement Learning with Natural Language Constraints. CoRR abs/2405.20018 (2024)
2023
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Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy:
COOM: A Game Benchmark for Continual Reinforcement Learning. NeurIPS 2023
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  - journals/corr/abs-2312-15339
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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 abs/2312.15339 (2023)
2022
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Tristan Tomilin, Tianhong Dai, Meng Fang, Mykola Pechenizkiy:
LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning. CoG 2022: 72-79

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