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cs.LG2025
Improved Offline Reinforcement Learning via Quantum Metric Encoding
Outongyi Lv, Yewei Yuan, Nana Liu
Reinforcement learning (RL) with limited samples is common in real-world applications. However, offline RL performance under this constraint is often suboptimal. We consider an alt…
cs.LG2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
Outongyi Lv, Bingxin Zhou
Modern reinforcement learning (RL) can be categorized into online and offline variants. As a pivotal aspect of both online and offline RL, current research on the Bellman equation…