Articles with public access mandates - Konstantin AvrachenkovLearn more
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Benefits of hypergraphs for density-based clustering
L Hauseux, K Avrachenkov, J Zerubia
EUSIPCO 2024-32nd IEEE European Signal Processing Conference, 2024
Mandates: Agence Nationale de la Recherche
Deep reinforcement learning for weakly coupled MDP’s with continuous actions
K Avrachenkov
arXiv preprint arXiv:2406.01099, 2024
Mandates: Agence Nationale de la Recherche
Tabular and Deep Learning for the Whittle Index
F Robledo Relaño, V Borkar, U Ayesta, K Avrachenkov
ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 2024
Mandates: Agence Nationale de la Recherche
Influence Maximization in Dynamic Networks Using Reinforcement Learning
SHS Dizaji, K Patil, K Avrachenkov
SN Computer Science 5 (1), 169, 2024
Mandates: Agence Nationale de la Recherche
Recovering static and time-varying communities using persistent edges
K Avrachenkov, M Dreveton, L Leskelä
Ieee Transactions On Network Science And Engineering, 2023
Mandates: European Commission
Graph based approach for galaxy filament extraction
L Hauseux, K Avrachenkov, J Zerubia
International Conference on Complex Networks and Their Applications, 384-396, 2023
Mandates: Agence Nationale de la Recherche
Un nouvel estimateur des niveaux de densité utilisant les graphes et complexes simpliciaux. Application à la détection des clusters de galaxies
L Hauseux, K Avrachenkov, J Zerubia
XVIe Journées de géostatistiques, 2023
Mandates: Agence Nationale de la Recherche
Full gradient deep reinforcement learning for average-reward criterion
T Pagare, V Borkar, K Avrachenkov
Learning for Dynamics and Control Conference, 235-247, 2023
Mandates: Department of Science & Technology, India
Multilayer hypergraph clustering using the aggregate similarity matrix
K Alaluusua, K Avrachenkov, BRV Kumar, L Leskelä
International Workshop on Algorithms and Models for the Web-Graph, 83-98, 2023
Mandates: Academy of Finland, Agence Nationale de la Recherche
Red light green light method for solving large Markov chains
K Avrachenkov, P Brown, N Litvak
Journal of Scientific Computing 93 (1), 18, 2022
Mandates: Netherlands Organisation for Scientific Research, European Commission
Analysis of a RED Queue: A Singular Perturbation Approach
E Altman, K Avrachenkov, BJ Prabhu
Traffic and Performance Engineering for Heterogeneous Networks, 371-397, 2022
Mandates: Department of Science & Technology, India
Whittle index based Q-learning for restless bandits with average reward
KE Avrachenkov, VS Borkar
Automatica 139, 110186, 2022
Mandates: Department of Science & Technology, India
Deep reinforcement learning for web crawling
K Avrachenkov, V Borkar, K Patil
2021 Seventh Indian Control Conference (ICC), 201-206, 2021
Mandates: Council of Scientific and Industrial Research, India
Dynamic social learning under graph constraints
KE Avrachenkov, VS Borkar, S Moharir, SM Shah
IEEE Transactions on Control of Network Systems 9 (3), 1435-1446, 2021
Mandates: Department of Science & Technology, India
Full gradient DQN reinforcement learning: A provably convergent scheme
KE Avrachenkov, VS Borkar, HP Dolhare, K Patil
Modern Trends in Controlled Stochastic Processes: Theory and Applications, V …, 2021
Mandates: Council of Scientific and Industrial Research, India
Recovering communities in temporal networks using persistent edges
K Avrachenkov, M Dreveton, L Leskelä
Computational Data and Social Networks: 10th International Conference …, 2021
Mandates: European Commission
LFGCN: Levitating over graphs with levy flights
Y Chen, YR Gel, K Avrachenkov
2020 IEEE International Conference on Data Mining (ICDM), 960-965, 2020
Mandates: US National Science Foundation
Estimation of static community memberships from temporal network data
K Avrachenkov, M Dreveton, L Leskelä
arXiv preprint arXiv:2008.04790, 2020
Mandates: European Commission
Evolutionary dynamics in discrete time for the perturbed positive definite replicator equation
A Albrecht, K Avrachenkov, P Howlett, G Verma
The ANZIAM Journal 62 (2), 148-184, 2020
Mandates: Australian Research Council
Zero-Sum Stochastic Games over the Field of Real Algebraic Numbers
K Avrachenkov, V Ejov, JA Filar, A Moghaddam
Dynamic Games and Applications 9 (4), 1026-1041, 2019
Mandates: Australian Research Council
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