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)

Klotski: Efficient and Safe Network Migration of Large Production Datacenters. - Yihao Zhao; Xiaoxiang Zhang; Hang Zhu; Ying Zhang 022; Zhaodong Wang; Yuandong Tian; Alex Nikulkov; Joao Ferreira; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2023)

Optimism Based Exploration in Large-Scale Recommender Systems. - Hongbo Guo; Ruben Naeff; Alex Nikulkov; Zheqing Zhu (CoRR, 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)

Improving Generative Ad Text on Facebook using Reinforcement Learning. - Daniel R. Jiang; Alex Nikulkov; Yu-Chia Chen; Yang Bai; Zheqing Zhu (CoRR, 2025)