Shan Cong

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning

Context-based Offline Meta Reinforcement Learning (COMRL) has shown promising results in improving the cross-task generalization ability of meta-policies. However, current methods often lead to entangled task representations, in which each latent dimension is influenced by multiple causal factors th