Invariant causal prediction for block MDPs
Generalization across environments is critical to the successful application of reinforcement learning (RL) algorithms to real-world challenges. In this work we propose a method for learning state abstractions which generalize to novel observation distributions in the multi-environment RL setting. W...
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| Aineistotyyppi: | Conference item |
| Kieli: | English |
| Julkaistu: |
Proceedings of Machine Learning Research
2020
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