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cs.LG2025
Reinforcement Learning with Anticipation: A Hierarchical Approach for Long-Horizon Tasks
Yang Yu
Solving long-horizon goal-conditioned tasks remains a significant challenge in reinforcement learning (RL). Hierarchical reinforcement learning (HRL) addresses this by decomposing…
cs.LG2024
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation
Jun Wang, Likang Wu, Qi Liu +1
Sequential recommendation, where user preference is dynamically inferred from sequential historical behaviors, is a critical task in recommender systems (RSs). To further optimize…