Global Equilibrium Search Algorithms for Combinatorial Optimization Problems. - Oleg V. Shylo; Dmytro Korenkevych; Panos M. Pardalos (PPSN (2), 2012)

Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines. - Dmytro Korenkevych; Yanbo Xue; Zhengbing Bian; Fabián A. Chudak; William G. Macready; Jason Rolfe; Evgeny Andriyash (CoRR, 2016)

Benchmarking Reinforcement Learning Algorithms on Real-World Robots. - A. Rupam Mahmood; Dmytro Korenkevych; Gautham Vasan; William Ma; James Bergstra (CoRL, 2018)

Setting up a Reinforcement Learning Task with a Real-World Robot. - A. Rupam Mahmood; Dmytro Korenkevych; Brent J. Komer; James Bergstra (IROS, 2018)

Autoregressive Policies for Continuous Control Deep Reinforcement Learning. - Dmytro Korenkevych; A. Rupam Mahmood; Gautham Vasan; James Bergstra (IJCAI, 2019)

Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning. - Ruiyang Xu; Jalaj Bhandari; Dmytro Korenkevych; Fan Liu; Yuchen He 002; Alex Nikulkov; Zheqing Zhu (RecSys, 2023)

Pearl: A Production-ready Reinforcement Learning Agent. - Zheqing Zhu; Rodrigo de Salvo Braz; Jalaj Bhandari; Daniel Jiang; Yi Wan; Yonathan Efroni; Liyuan Wang; Ruiyang Xu; Hongbo Guo; Alex Nikulkov; Dmytro Korenkevych; Ürün Dogan; et al. (CoRR, 2023)

Offline Reinforcement Learning for Optimizing Production Bidding Policies. - Dmytro Korenkevych; Frank Cheng; Artsiom Balakir; Alex Nikulkov; Lingnan Gao; Zhihao Cen; Zuobing Xu; Zheqing Zhu (KDD, 2024)

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks. - Yi Wan; Dmytro Korenkevych; Zheqing Zhu (CoRR, 2025)