Model-based Offline Policy Optimization with Adversarial Network (MOAN)
收藏DataCite Commons2025-01-02 更新2025-04-16 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/029346eb-100d-431a-8776-c903cab5feb0
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资源简介：
Offline RL framework called MOAN, which introduces a two-player game to improve the generalization capability of the transition model and mitigate the negative effects of potentially problematic rollouts during offline reinforcement learning.
提供机构：
TIB
创建时间：
2025-01-02
