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Conference Paper

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

MPS-Authors
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Lu,  Chaochao
External Organizations;
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf,  Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Lu, C., Huang, B., Wang, K., Hernández-Lobato, J. M., Zhang, K., & Schölkopf, B. (2020). Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation. Retrieved from https://offline-rl-neurips.github.io/program/offrl_34.html.


Cite as: https://hdl.handle.net/21.11116/0000-000D-099B-B
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