Zobrazeno 1 - 5
of 5
pro vyhledávání: '"De Peuter, Sebastiaan"'
High training costs of generative models and the need to fine-tune them for specific tasks have created a strong interest in model reuse and composition. A key challenge in composing iterative generative processes, such as GFlowNets and diffusion mod
Externí odkaz:
http://arxiv.org/abs/2309.16115
Autor:
De Peuter, Sebastiaan, Kaski, Samuel
We consider the problem of creating assistants that can help agents solve new sequential decision problems, assuming the agent is not able to specify the reward function explicitly to the assistant. Instead of acting in place of the agent as in curre
Externí odkaz:
http://arxiv.org/abs/2202.07364
AI for supporting designers needs to be rethought. It should aim to cooperate, not automate, by supporting and leveraging the creativity and problem-solving of designers. The challenge for such AI is how to infer designers' goals and then help them w
Externí odkaz:
http://arxiv.org/abs/2107.13074
Autor:
Chandramouli, Suyog, Shi, Danqing, Putkonen, Aini, De Peuter, Sebastiaan, Zhang, Shanshan, Jokinen, Jussi, Howes, Andrew, Oulasvirta, Antti
Publikováno v:
Computational Brain & Behavior; Sep2024, Vol. 7 Issue 3, p399-419, 21p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.