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Dmytro Korenkevych
Dmytro Korenkevych
Meta AI
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Title
Cited by
Cited by
Year
Benchmarking reinforcement learning algorithms on real-world robots
AR Mahmood, D Korenkevych, G Vasan, W Ma, J Bergstra
Conference on robot learning, 561-591, 2018
1832018
Connectivity brain networks based on wavelet correlation analysis in Parkinson fMRI data
F Skidmore, D Korenkevych, Y Liu, G He, E Bullmore, PM Pardalos
Neuroscience letters 499 (1), 47-51, 2011
1582011
Setting up a reinforcement learning task with a real-world robot
AR Mahmood, D Korenkevych, BJ Komer, J Bergstra
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
842018
The pattern of longitudinal change in serum creatinine and 90-day mortality after major surgery
D Korenkevych, T Ozrazgat-Baslanti, P Thottakkara, CE Hobson, ...
Annals of surgery 263 (6), 1219-1227, 2016
702016
Benchmarking quantum hardware for training of fully visible Boltzmann machines
D Korenkevych, Y Xue, Z Bian, F Chudak, WG Macready, J Rolfe, ...
arXiv preprint arXiv:1611.04528, 2016
392016
Systems and methods for analog processing of problem graphs having arbitrary size and/or connectivity
MC Thom, AP Roy, FA Chudak, Z Bian, WG Macready, RB Israel, ...
US Patent 10,599,988, 2020
332020
Autoregressive policies for continuous control deep reinforcement learning
D Korenkevych, AR Mahmood, G Vasan, J Bergstra
arXiv preprint arXiv:1903.11524, 2019
252019
Real-time real-world reinforcement learning systems and methods
AR Mahmood, BJ Komer, D Korenkevych
US Patent App. 16/560,761, 2020
82020
Small world networks in computational neuroscience
D Korenkevych, JH Chien, J Zhang, DS Shiau, C Sackellares, ...
Handbook of combinatorial optimization, 3057-3088, 2013
82013
Optimizing long-term value for auction-based recommender systems via on-policy reinforcement learning
R Xu, J Bhandari, D Korenkevych, F Liu, Y He, A Nikulkov, Z Zhu
Proceedings of the 17th ACM Conference on Recommender Systems, 955-962, 2023
62023
Systems, devices, articles, and methods for creating and using trained robots with augmented reality
S Gildert, GS Rose, D Korenkevych, MFH Steininger
US Patent 10,671,240, 2020
62020
Systems and methods for machine learning using adiabatic quantum computers
J Rolfe, D Korenkevych, M Ranjbar, JR Raymond, WG Macready
US Patent 11,410,067, 2022
42022
Setting up a reinforcement learning task with a real-world robot
A Rupam Mahmood, D Korenkevych, BJ Komer, J Bergstra
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
42018
Pearl: A Production-ready Reinforcement Learning Agent
Z Zhu, RS Braz, J Bhandari, D Jiang, Y Wan, Y Efroni, L Wang, R Xu, ...
arXiv preprint arXiv:2312.03814, 2023
22023
Offline reinforcement learning for optimizing production bidding policies
D Korenkevych, F Cheng, A Balakir, A Nikulkov, L Gao, Z Cen, Z Xu, ...
arXiv preprint arXiv:2310.09426, 2023
12023
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A Rupam Mahmood, D Korenkevych, G Vasan, W Ma, J Bergstra
arXiv e-prints, arXiv: 1809.07731, 2018
12018
How Close to Optimal Are Small World Properties of Human Brain Networks?
D Korenkevych, F Skidmore, B Goldengorin, PM Pardalos
Models, Algorithms, and Technologies for Network Analysis: Proceedings of …, 2013
12013
Global equilibrium search algorithms for combinatorial optimization problems
O Shylo, D Korenkevych, PM Pardalos
Parallel Problem Solving from Nature-PPSN XII: 12th International Conference …, 2012
12012
Systems and methods for analog processing of problem graphs having arbitrary size and/or connectivity
MC Thom, AP Roy, FA Chudak, Z Bian, WG Macready, RB Israel, ...
US Patent App. 18/203,880, 2023
2023
Systems and methods for analog processing of problem graphs having arbitrary size and/or connectivity
MC Thom, AP Roy, FA Chudak, Z Bian, WG Macready, RB Israel, ...
US Patent 11,704,586, 2023
2023
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