Dmytro Korenkevych

15 papers A* 2A 2Misc 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Empirical Study of Deep Reinforcement Learning in Continuing Tasks. CoRR Yi Wan, Dmytro Korenkevych, Zheqing Zhu
2024	A*	`conf`	Offline Reinforcement Learning for Optimizing Production Bidding Policies. KDD Dmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu
2024	J	`jnl`	Pearl: A Production-Ready Reinforcement Learning Agent. J. Mach. Learn. Res. 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, Frank Cheng, Zheng Wu, Wanqiao Xu
2023	J	`jnl`	Offline Reinforcement Learning for Optimizing Production Bidding Policies. CoRR Dmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu
2023	A	`conf`	Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning. RecSys Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych, Fan Liu, Yuchen He, Alex Nikulkov, Zheqing Zhu
2023	J	`jnl`	Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning. CoRR Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych, Fan Liu, Yuchen He, Alex Nikulkov, Zheqing Zhu
2023	J	`jnl`	Pearl: A Production-ready Reinforcement Learning Agent. CoRR 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, Frank Cheng, Zheng Wu, Wanqiao Xu
2019	A*	`conf`	Autoregressive Policies for Continuous Control Deep Reinforcement Learning. IJCAI Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra
2019	J	`jnl`	Autoregressive Policies for Continuous Control Deep Reinforcement Learning. CoRR Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra
2018	Misc	`conf`	Benchmarking Reinforcement Learning Algorithms on Real-World Robots. CoRL A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra
2018	J	`jnl`	Benchmarking Reinforcement Learning Algorithms on Real-World Robots. CoRR A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra
2018	A	`conf`	Setting up a Reinforcement Learning Task with a Real-World Robot. IROS A. Rupam Mahmood, Dmytro Korenkevych, Brent J. Komer, James Bergstra
2018	J	`jnl`	Setting up a Reinforcement Learning Task with a Real-World Robot. CoRR A. Rupam Mahmood, Dmytro Korenkevych, Brent J. Komer, James Bergstra
2016	J	`jnl`	Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines. CoRR Dmytro Korenkevych, Yanbo Xue, Zhengbing Bian, Fabián A. Chudak, William G. Macready, Jason Rolfe, Evgeny Andriyash
2012	—	`conf`	Global Equilibrium Search Algorithms for Combinatorial Optimization Problems. PPSN (2) Oleg V. Shylo, Dmytro Korenkevych, Panos M. Pardalos