Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kyrill Schmid"'
Enabling autonomous agents to act cooperatively is an important step to integrate artificial intelligence in our daily lives. While some methods seek to stimulate cooperation by letting agents give rewards to others, in this paper we propose a method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ecc421e872988108731d209903ad561
http://arxiv.org/abs/2301.07416
http://arxiv.org/abs/2301.07416
Publikováno v:
IJCAI
Some of the most relevant future applications of multi-agent systems like autonomous driving or factories as a service display mixed-motive scenarios, where agents might have conflicting goals. In these settings agents are likely to learn undesirable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6b20995fd3f7b9d1828cb661bba1ff
Publikováno v:
IJCNN
Building autonomous agents that are capable to cooperate with other machines is an essential step towards large scale application of AI systems. Especially systems comprised of multiple self-interested agents with general sum returns can profit from
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion
The expansion of Fiber-To-The-Home (FTTH) networks creates high costs due to expensive excavation procedures. Optimizing the planning process and minimizing the cost of the earth excavation work therefore lead to large savings. Mathematically, the FT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fafa7fe7da88310005bbe56a95155d0e
Publikováno v:
The 2021 Conference on Artificial Life.
Publikováno v:
ICAART (2)
In this work, we thoroughly evaluate the efficacy of pretrained neural networks as feature extractors for anomalous sound detection. In doing so, we leverage the knowledge that is contained in these neural networks to extract semantically rich featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9126ac6e434e2a3c9174c9f2e1766f76
http://arxiv.org/abs/2012.06282
http://arxiv.org/abs/2012.06282
Publikováno v:
ICAART (1)
Scopus-Elsevier
Scopus-Elsevier
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438869
PKDD/ECML Workshops (2)
PKDD/ECML Workshops (2)
The difficulty of mountainbike downhill trails is a subjective perception. However, sports-associations and mountainbike park operators attempt to group trails into different levels of difficulty with scales like the Singletrail-Skala (S0-S5) or colo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::445e3dae9e8e4e9c13acbe169485ce0e
https://doi.org/10.1007/978-3-030-43887-6_21
https://doi.org/10.1007/978-3-030-43887-6_21
Publikováno v:
ICAC
As automatic optimization techniques find their way into industrial applications, the behavior of many complex systems is determined by some form of planner picking the right actions to optimize a given objective function. In many cases, the mapping
Publikováno v:
Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems ISBN: 9783030034238
ISoLA (3)
ISoLA (3)
In collective adaptive systems (CAS), adaptation can be implemented by optimization wrt. utility. Agents in a CAS may be self-interested, while their utilities may depend on other agents’ choices. Independent optimization of agent utilities may yie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c00759bb83900743cb39ea999f64d4af
https://doi.org/10.1007/978-3-030-03424-5_16
https://doi.org/10.1007/978-3-030-03424-5_16