most citedUncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation

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cs.LG2024

Offline Trajectory Optimization for Offline Reinforcement Learning

Ziqi Zhao, Zhaochun Ren, Liu Yang +6

Offline reinforcement learning (RL) aims to learn policies without online explorations. To enlarge the training data, model-based offline RL learns a dynamics model which is utiliz…