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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Dettagli Bibliografici
Autori principali: Zhang, A, Lyle, C, Sodhani, S, Filos, A, Kwiatkowska, M, Pineau, J, Gal, Y, Precup, D
Natura: Conference item
Lingua:English
Pubblicazione: Proceedings of Machine Learning Research 2020