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Jing Zhang

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#machine learning Preprint Sep 2026

Improving Offline Goal-Conditioned Reinforcement Learning via Selective Reward Stimulation

This work proposes Reward Stimulation Implicit Q-Learning (RSIQL), a simple non-hierarchical method that introduces additional reward signals at progress-making intermediate states in offline trajectories and achieves performance competitive with hierarchical offline goal-conditioned methods, while retaining a simple f...

Jing Zhang · 0 citations

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