Search Results for author: Alex Nikulkov

Found 4 papers, 1 papers with code

Offline Reinforcement Learning for Optimizing Production Bidding Policies

no code implementations13 Oct 2023 Dmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu

We use a hybrid agent architecture that combines arbitrary base policies with deep neural networks, where only the optimized base policy parameters are eventually deployed, and the neural network part is discarded after training.


Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning

no code implementations23 May 2023 Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych, Fan Liu, Yuchen He, Alex Nikulkov, Zheqing Zhu

Auction-based recommender systems are prevalent in online advertising platforms, but they are typically optimized to allocate recommendation slots based on immediate expected return metrics, neglecting the downstream effects of recommendations on user behavior.

Recommendation Systems reinforcement-learning

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