Tim Franzmeyer
Tim Franzmeyer
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Learn what matters: cross-domain imitation learning with task-relevant embeddings
T Franzmeyer, PHS Torr, JF Henriques
Neural Information Processing Systems (NeurIPS), 2022
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
T Franzmeyer, M Malinowski, JF Henriques
International Conference on Learning Representations (ICLR), 2022
Extracting Reward Functions from Diffusion Models
F Nuti*, T Franzmeyer*, JF Henriques
arXiv preprint arXiv:2306.01804, 2023
Illusory attacks: Detectability matters in adversarial attacks on sequential decision-makers
T Franzmeyer, S McAleer, JF Henriques, JN Foerster, PHS Torr, A Bibi, ...
arXiv preprint arXiv:2207.10170, 2022
Select to Perfect: Imitating desired behavior from large multi-agent data
T Franzmeyer, E Elkind, P Torr, J Foerster, J Henriques
arXiv preprint arXiv:2405.03735, 2024
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
L Nasvytis, K Sandbrink, J Foerster, T Franzmeyer, CS de Witt
arXiv preprint arXiv:2404.07099, 2024
Who to imitate: Imitating desired behavior from divserse multi-agent datasets
T Franzmeyer, JN Foerster, E Elkind, P Torr, JF Henriques
The Twelfth International Conference on Learning Representations, 2023
Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes
B Matejek, T Franzmeyer, D Wei, X Wang, J Zhao, K Palįgyi, JW Lichtman, ...
IEEE transactions on medical imaging 41 (9), 2360-2370, 2022
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