Invariant Causal Prediction for Block MDPs

12 Mar 2020Amy ZhangClare LyleShagun SodhaniAngelos FilosMarta KwiatkowskaJoelle PineauYarin GalDoina Precup

Generalization across environments is critical to the successful application of reinforcement learning algorithms to real-world challenges. In this paper, we consider the problem of learning abstractions that generalize in block MDPs, families of environments with a shared latent state space and dynamics structure over that latent space, but varying observations... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.