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Model-based Offline Policy Optimization with Adversarial Network (MOAN)

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.

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Cite this as

Junming Yang, Xingguo Chen, Shengyuan Wang, Bolei Zhang (2025). Dataset: Model-based Offline Policy Optimization with Adversarial Network (MOAN). https://doi.org/10.57702/dv0g8aos

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Additional Info

Field	Value
Created	January 2, 2025
Last update	January 2, 2025
Defined In	https://doi.org/10.48550/arXiv.2309.02157
Author	Junming Yang
More Authors	Xingguo Chen Shengyuan Wang Bolei Zhang
Homepage	https://github.com/junming-yang/MOAN