Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Danoy, Grégoire"'
Transformer-based models for time series forecasting (TSF) have attracted significant attention in recent years due to their effectiveness and versatility. However, these models often require extensive hyperparameter optimization (HPO) to achieve the
Externí odkaz:
http://arxiv.org/abs/2501.01394
Autor:
Maudet, Gwen, Danoy, Grégoire
Branch-and-Bound (B\&B) is an exact method in integer programming that recursively divides the search space into a tree. During the resolution process, determining the next subproblem to explore within the tree-known as the search strategy-is crucial
Externí odkaz:
http://arxiv.org/abs/2412.09444
The design of satellite missions is currently undergoing a paradigm shift from the historical approach of individualised monolithic satellites towards distributed mission configurations, consisting of multiple small satellites. With a rapidly growing
Externí odkaz:
http://arxiv.org/abs/2408.06903
Alongside the continuous process of improving AI performance through the development of more sophisticated models, researchers have also focused their attention to the emerging concept of data-centric AI, which emphasizes the important role of data i
Externí odkaz:
http://arxiv.org/abs/2407.19784
Autor:
Felten, Florian, Ucak, Umut, Azmani, Hicham, Peng, Gao, Röpke, Willem, Baier, Hendrik, Mannion, Patrick, Roijers, Diederik M., Terry, Jordan K., Talbi, El-Ghazali, Danoy, Grégoire, Nowé, Ann, Rădulescu, Roxana
Many challenging tasks such as managing traffic systems, electricity grids, or supply chains involve complex decision-making processes that must balance multiple conflicting objectives and coordinate the actions of various independent decision-makers
Externí odkaz:
http://arxiv.org/abs/2407.16312
The substantial increase in AI model training has considerable environmental implications, mandating more energy-efficient and sustainable AI practices. On the one hand, data-centric approaches show great potential towards training energy-efficient A
Externí odkaz:
http://arxiv.org/abs/2402.12010
Autor:
Stolfi, Daniel H., Danoy, Grégoire
We present a new plug-in for the ARGoS swarm robotic simulator to implement the Crazyflie drone, including its controllers, sensors, and some expansion decks. We have based our development on the former Spiri drone, upgrading the position controller,
Externí odkaz:
http://arxiv.org/abs/2401.16948
Autor:
Simón, Manuel Combarro, Talbot, Pierre, Danoy, Grégoire, Musial, Jedrzej, Alswaitti, Mohammed, Bouvry, Pascal
Publikováno v:
In 29th International Conference on Principles and Practice of Constraint Programming. Leibniz International Proceedings in Informatics (LIPIcs), Volume 280, pp. 44:1-44:15, Schloss Dagstuhl - Leibniz-Zentrum f\"ur Informatik (2023)
Satellite imagery solutions are widely used to study and monitor different regions of the Earth. However, a single satellite image can cover only a limited area. In cases where a larger area of interest is studied, several images must be stitched tog
Externí odkaz:
http://arxiv.org/abs/2312.04210
Multi-objective reinforcement learning (MORL) extends traditional RL by seeking policies making different compromises among conflicting objectives. The recent surge of interest in MORL has led to diverse studies and solving methods, often drawing fro
Externí odkaz:
http://arxiv.org/abs/2311.12495
Reinforcement learning (RL) has emerged as a powerful approach for tackling complex problems. The recent introduction of multi-objective reinforcement learning (MORL) has further expanded the scope of RL by enabling agents to make trade-offs among mu
Externí odkaz:
http://arxiv.org/abs/2310.16487