World Model-Guided Reinforcement Learning via Counterfactual User Engagement Simulation

Ang Li, Xin Xu, Bin Liang +4

Reinforcement learning for user-centric agents is limited by the cost, latency, and risk of collecting online feedback, as well as by the lack of counterfactual comparisons under t…