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Kuaishou Tech
Kuaishou Tech
Apr 28, 2023 · Artificial Intelligence

How Hyper‑Actor Critic Redefines Reinforcement Learning for Recommendation Systems

This article presents the Hyper‑Actor Critic (HAC) framework that splits reinforcement‑learning policies into continuous hyper‑actions and effective recommendation lists, introduces alignment and supervised losses, and demonstrates superior performance on an online simulator compared to existing RL and supervised methods.

AI researchRecommendation Systemshyper-actor critic
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How Hyper‑Actor Critic Redefines Reinforcement Learning for Recommendation Systems