Zobrazeno 1 - 10
of 301
pro vyhledávání: '"Akrour, A."'
Deterministic policies are often preferred over stochastic ones when implemented on physical systems. They can prevent erratic and harmful behaviors while being easier to implement and interpret. However, in practice, exploration is largely performed
Externí odkaz:
http://arxiv.org/abs/2407.04864
Deep reinforcement learning agents are prone to goal misalignments. The black-box nature of their policies hinders the detection and correction of such misalignments, and the trust necessary for real-world deployment. So far, solutions learning inter
Externí odkaz:
http://arxiv.org/abs/2405.14956
Interpretability of AI models allows for user safety checks to build trust in such AIs. In particular, Decision Trees (DTs) provide a global look at the learned model and transparently reveal which features of the input are critical for making a deci
Externí odkaz:
http://arxiv.org/abs/2309.13365
Finding an optimal decision tree for a supervised learning task is a challenging combinatorial problem to solve at scale. It was recently proposed to frame the problem as a Markov Decision Problem (MDP) and use deep reinforcement learning to tackle s
Externí odkaz:
http://arxiv.org/abs/2309.12701
Interpretability of AI models allows for user safety checks to build trust in these models. In particular, decision trees (DTs) provide a global view on the learned model and clearly outlines the role of the features that are critical to classify a g
Externí odkaz:
http://arxiv.org/abs/2304.05839
Deep Reinforcement Learning (Deep RL) has had incredible achievements on high dimensional problems, yet its learning process remains unstable even on the simplest tasks. Deep RL uses neural networks as function approximators. These neural models are
Externí odkaz:
http://arxiv.org/abs/2210.08503
Autor:
Jérémie Sellam, Laure Gossec, Pascal Claudepierre, Axel Finckh, Grégoire Cormier, Renaud Felten, Emmanuelle Dernis, Arnaud Constantin, Hubert Marotte, Philippe Goupille, Thierry Schaeverbeke, Athan Baillet, Anne Tournadre, Tristan Pascart, Maxime Breban, Valerie Devauchelle, Thierry Lequerre, Christian Jorgensen, Eric Lespessailles, Elisabeth Gervais, Daniel Wendling, Cédric Lukas, Corinne Miceli, Emilie Presles, Stephan Pavy, Jean-Hugues Salmon, Christian Marcelli, Olivier Brocq, Beatrice Bouvard, Benoit Le Goff, Florence Rancon, Theodora Bejan-Angoulvant, Elisa Dalix, Madjid Akrour, Liliane De Araujo, Christian H Roux
Publikováno v:
BMJ Open, Vol 14, Iss 9 (2024)
Introduction Axial spondyloarthritis (axSpA) is a chronic inflammatory disease characterised by inflammatory low back pain. Non-steroidal anti-inflammatory drugs (NSAIDs) are recommended as a first treatment in axSpA. In case of inadequate response t
Externí odkaz:
https://doaj.org/article/7b09aa494dc5437db5fef56602eb6bc8
Publikováno v:
In International Journal of Heat and Mass Transfer 15 December 2024 235
Autor:
Elkhazen, Mohamed Issam1 (AUTHOR) mohamedissam.khazen@ksarhelal.r-iset.tn, Akrour, Dalila2 (AUTHOR) dakrour@usthb.dz, Hassen, Walid1 (AUTHOR) walid.hassen@enim.u-monastir.tn, Almeshaal, Mohammed A.3 (AUTHOR) maalmeshaal@imamu.edu.sa, Palaniappan, Murugesan3 (AUTHOR) mpapathi@imamu.edu.sa, Choubani, Karim3 (AUTHOR) kelchobani@imamu.edu.sa, Hnaien, Nidhal4 (AUTHOR) nidhal.hnaien@enim.u-monastir.tn
Publikováno v:
Symmetry (20738994). Jun2024, Vol. 16 Issue 6, p761. 18p.
Convex optimizers have known many applications as differentiable layers within deep neural architectures. One application of these convex layers is to project points into a convex set. However, both forward and backward passes of these convex layers
Externí odkaz:
http://arxiv.org/abs/2011.07016