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Quentin Delfosse
Quentin Delfosse
AIML Lab Technische Universität Darmstadt
Geverifieerd e-mailadres voor cs.tu-darmstadt.de - Homepage
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CLEVA-compass: A continual learning evaluation assessment compass to promote research transparency and comparability
M Mundt, S Lang, Q Delfosse, K Kersting
arXiv preprint arXiv:2110.03331, 2021
322021
Adaptable adapters
NS Moosavi, Q Delfosse, K Kersting, I Gurevych
arXiv preprint arXiv:2205.01549, 2022
172022
Adaptive rational activations to boost deep reinforcement learning
Q Delfosse, P Schramowski, M Mundt, A Molina, K Kersting
arXiv preprint arXiv:2102.09407, 2021
13*2021
Interpretable and explainable logical policies via neurally guided symbolic abstraction
Q Delfosse, H Shindo, D Dhami, K Kersting
Advances in Neural Information Processing Systems 36, 2024
52024
OCAtari: object-centric atari 2600 reinforcement learning environments
Q Delfosse, J Blüml, B Gregori, S Sztwiertnia, K Kersting
arXiv preprint arXiv:2306.08649, 2023
42023
Generative adversarial neural cellular automata
M Otte, Q Delfosse, J Czech, K Kersting
arXiv preprint arXiv:2108.04328, 2021
42021
Boosting object representation learning via motion and object continuity
Q Delfosse, W Stammer, T Rothenbächer, D Vittal, K Kersting
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
32023
Interpretable concept bottlenecks to align reinforcement learning agents
Q Delfosse, S Sztwiertnia, W Stammer, M Rothermel, K Kersting
arXiv preprint arXiv:2401.05821, 2024
22024
Open-ended learning of grasp strategies using intrinsically motivated self-supervision
Q Delfosse, S Stark, D Tanneberg, VG Santucci, J Peters
12019
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
A Wüst, W Stammer, Q Delfosse, DS Dhami, K Kersting
arXiv preprint arXiv:2402.08280, 2024
2024
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