2023
Learning World Models with Identifiable Factorization
NeurIPS 2023poster
Extracting a stable and compact representation of the environment is crucial for efficient reinforcement learning in high-dimensional, noisy, and non-stationary environments. Different categories of information coexist in such environments -- how to effectively extract and disentangle the informati…