Zobrazeno 1 - 10
of 22 255
pro vyhledávání: '"Luck A"'
Autor:
Pan, Yu, Sun, Jianxin, Yu, Hongfeng, Luck, Joe, Bai, Geng, Chamara, Nipuna, Ge, Yufeng, Awada, Tala
Current agricultural data management and analysis paradigms are to large extent traditional, in which data collecting, curating, integration, loading, storing, sharing and analyzing still involve too much human effort and know-how. The experts, resea
Externí odkaz:
http://arxiv.org/abs/2411.00188
Publikováno v:
Proceedings of the 8th Annual Conference on Robot Learning (CoRL 2024)
In complex real-world tasks such as robotic manipulation and autonomous driving, collecting expert demonstrations is often more straightforward than specifying precise learning objectives and task descriptions. Learning from expert data can be achiev
Externí odkaz:
http://arxiv.org/abs/2410.18608
Autor:
Luck, Jean-Marc, Mehta, Anita
We present a model of speech perception which takes into account effects of correlations between sounds. Words in this model correspond to the attractors of a suitably chosen descent dynamics. The resulting lexicon is rich in short words, and much le
Externí odkaz:
http://arxiv.org/abs/2410.18590
Fairness in Multi-Agent Systems (MAS) has been extensively studied, particularly in reward distribution among agents in scenarios such as goods allocation, resource division, lotteries, and bargaining systems. Fairness in MAS depends on various facto
Externí odkaz:
http://arxiv.org/abs/2410.12889
Autor:
Arodi, Akshatha, Luck, Margaux, Bedwani, Jean-Luc, Zaimi, Aldo, Li, Ge, Pouliot, Nicolas, Beaudry, Julien, Caron, Gaétan Marceau
Machine learning models are increasingly being deployed in real-world contexts. However, systematic studies on their transferability to specific and critical applications are underrepresented in the research literature. An important example is visual
Externí odkaz:
http://arxiv.org/abs/2409.20353
Autor:
Puliti, Stefano, Lines, Emily R., Müllerová, Jana, Frey, Julian, Schindler, Zoe, Straker, Adrian, Allen, Matthew J., Winiwarter, Lukas, Rehush, Nataliia, Hristova, Hristina, Murray, Brent, Calders, Kim, Terryn, Louise, Coops, Nicholas, Höfle, Bernhard, Junttila, Samuli, Krůček, Martin, Krok, Grzegorz, Král, Kamil, Levick, Shaun R., Luck, Linda, Missarov, Azim, Mokroš, Martin, Owen, Harry J. F., Stereńczak, Krzysztof, Pitkänen, Timo P., Puletti, Nicola, Saarinen, Ninni, Hopkinson, Chris, Torresan, Chiara, Tomelleri, Enrico, Weiser, Hannah, Astrup, Rasmus
Proximally-sensed laser scanning offers significant potential for automated forest data capture, but challenges remain in automatically identifying tree species without additional ground data. Deep learning (DL) shows promise for automation, yet prog
Externí odkaz:
http://arxiv.org/abs/2408.06507
Based on a review of anecdotal beliefs, we explored patterns of track-sequencing within professional music albums. We found that songs with high levels of valence, energy and loudness are more likely to be positioned at the beginning of each album. W
Externí odkaz:
http://arxiv.org/abs/2408.04383
Some imitation learning methods combine behavioural cloning with self-supervision to infer actions from state pairs. However, most rely on a large number of expert trajectories to increase generalisation and human intervention to capture key aspects
Externí odkaz:
http://arxiv.org/abs/2407.04856
This paper studies how a large increase in the price level is transmitted to the real economy through firm balance sheets. Using newly digitized macro- and micro-level data from the German inflation of 1919-1923, we show that inflation led to a large
Externí odkaz:
http://arxiv.org/abs/2405.13296
Imitation learning is an approach in which an agent learns how to execute a task by trying to mimic how one or more teachers perform it. This learning approach offers a compromise between the time it takes to learn a new task and the effort needed to
Externí odkaz:
http://arxiv.org/abs/2404.19456