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cs.LG2026
Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning
Dingsu Wang, Filip Ryzner, Kelly He +17
As recommender systems mature in the past few years, their optimization objectives have evolved from a primary focusing on short-term behavioral signals to a broader emphasis on lo…
cs.LG2022★ 1 cited
Learning to Query Internet Text for Informing Reinforcement Learning Agents
Kolby Nottingham, Alekhya Pyla, Sameer Singh +1
Generalization to out of distribution tasks in reinforcement learning is a challenging problem. One successful approach improves generalization by conditioning policies on task or…