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Zhuoyang Xia

2 accepted papers

2026

Tracking Drift: Variation-Aware Entropy Scheduling for Non-Stationary Reinforcement Learning

ICML 2026poster

Real-world reinforcement learning often faces environment drift, but most existing methods rely on static entropy coefficients/target entropy, causing over-exploration during stable periods and under-exploration after drift (thus slow recovery), and leaving unanswered the principled question of how …

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