Advantages of cooperation between reinforcement learning agents in difficult stochastic problems. - Hamid R. Berenji; David Vengerov (FUZZ-IEEE, 2000)

On Convergence of Fuzzy Reinforcement Learning. - Hamid R. Berenji; David Vengerov (FUZZ-IEEE, 2001)

Using fuzzy reinforcement learning for power control in wireless transmitters. - David Vengerov; Hamid R. Berenji (FUZZ-IEEE, 2002)

Adaptive coordination among fuzzy reinforcement learning agents performing distributed dynamic load balancing. - David Vengerov; Hamid R. Berenji; Alex Vengerov (FUZZ-IEEE, 2002)

Inductive learning for fault diagnosis. - Hamid R. Berenji; Jayesh Ametha; David Vengerov (FUZZ-IEEE, 2003)

Co-evolutionary perception-based reinforcement learning for sensor allocation in autonomous vehicles. - Hamid R. Berenji; David Vengerov; Jayesh Ametha (FUZZ-IEEE, 2003)

A convergent actor-critic-based FRL algorithm with application to power management of wireless transmitters. - Hamid R. Berenji; David Vengerov (IEEE Trans. Fuzzy Syst., 2003)

Using gated experts in fault diagnosis and prognosis. - Hamid R. Berenji; Yan Wang; David Vengerov; Reza Langari; Mo M. Jamshidi (FUZZ-IEEE, 2004)

Adaptive Utility-Based Scheduling in Resource-Constrained Systems. - David Vengerov (Australian Conference on Artificial Intelligence, 2005)

A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results.. - David Vengerov; Nikolai Iakovlev (ICAC, 2005)

A fuzzy reinforcement learning approach to power control in wireless transmitters. - David Vengerov; Nicholas Bambos; Hamid R. Berenji (IEEE Trans. Syst. Man Cybern. Part B, 2005)

A reinforcement learning approach to dynamic resource allocation. - David Vengerov (Eng. Appl. Artif. Intell., 2007)

Constrained Multivariate Extrapolation Models With Application to Computer Cache Rates. - Ilya Gluhovsky; David Vengerov (Technometrics, 2007)

Comprehensive multivariate extrapolation modeling of multiprocessor cache miss rates. - Ilya Gluhovsky; David Vengerov; Brian O'Krafka (ACM Trans. Comput. Syst., 2007)

A gradient-based reinforcement learning approach to dynamic pricing in partially-observable environments. - David Vengerov (Future Gener. Comput. Syst., 2008)

A reinforcement learning framework for online data migration in hierarchical storage systems. - David Vengerov (J. Supercomput., 2008)

Modeling, analysis and throughput optimization of a generational garbage collector. - David Vengerov (ISMM, 2009)

A reinforcement learning framework for utility-based scheduling in resource-constrained systems. - David Vengerov (Future Gener. Comput. Syst., 2009)

Adaptive data-aware utility-based scheduling in resource-constrained systems. - David Vengerov; Lykomidis Mastroleon; Declan Murphy; Nicholas Bambos (J. Parallel Distributed Comput., 2010)

FACT: a framework for adaptive contention-aware thread migrations. - Kishore Kumar Pusukuri; David Vengerov; Alexandra Fedorova; Vana Kalogeraki (Conf. Computing Frontiers, 2011)

The judgment of forseti: economic utility for dynamic heap sizing of multiple runtimes. - Callum Cameron; Jeremy Singer; David Vengerov (ISMM, 2015)

Join Size Estimation Subject to Filter Conditions. - David Vengerov; Andre Cavalheiro Menck; Mohamed Zaït; Sunil Chakkappen (Proc. VLDB Endow., 2015)

Dynamic adaptation of user migration policies in distributed virtual environments. - David Vengerov (IJCNN, 2017)

A Two-List Framework for Accurate Detection of Frequent Items in Data Streams. - David Vengerov (MLDM (1), 2018)

Placement of Virtual Containers on NUMA systems: A Practical and Comprehensive Model. - Justin R. Funston; Maxime Lorrillere; Alexandra Fedorova; Baptiste Lepers; David Vengerov; Jean-Pierre Lozi; Vivien Quéma (USENIX ATC, 2018)

A Machine Learning Approach to Recommending Files in a Collaborative Work Environment. - David Vengerov; Sesh Jalagam (ACM SIGOPS Oper. Syst. Rev., 2019)

Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart. - Chuanwei Ruan; Allan Stewart; Han Li; Ryan Ye; David Vengerov; Haixun Wang (WWW (Companion Volume), 2023)