| 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 | 209 | 2018 |
| 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 | 163 | 2011 |
| 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 | 96 | 2018 |
| 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 | 74 | 2016 |
| 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 | 44 | 2016 |
| 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 | 41 | 2020 |
| Autoregressive policies for continuous control deep reinforcement learning D Korenkevych, AR Mahmood, G Vasan, J Bergstra arXiv preprint arXiv:1903.11524, 2019 | 29 | 2019 |
| Small world networks in computational neuroscience D Korenkevych, JH Chien, J Zhang, DS Shiau, C Sackellares, ... Handbook of combinatorial optimization, 3057-3088, 2013 | 8 | 2013 |
| 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 | 7 | 2023 |
| 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 | 7 | 2020 |
| Benchmarking reinforcement learning algorithms on real-world robots (2018) AR Mahmood, D Korenkevych, G Vasan, W Ma, J Bergstra 2nd Conference on Robot Learning, 2020 | 4 | 2020 |
| 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 | 4 | 2018 |
| 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 | 2 | 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 | 2 | 2023 |
| Offline reinforcement learning for optimizing production bidding policies D Korenkevych, F Cheng, A Balakir, A Nikulkov, L Gao, Z Cen, Z Xu, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Real-time real-world reinforcement learning systems and methods AR Mahmood, BJ Komer, D Korenkevych US Patent 12,005,578, 2024 | 1 | 2024 |
| 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 11,348,026, 2022 | 1 | 2022 |
| 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 | 1 | 2018 |
| 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 | 1 | 2013 |
| 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 | 1 | 2012 |
