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...
| Hlavní autoři: | , , , , , , , |
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| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
Proceedings of Machine Learning Research
2020
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