Aidan Scannell

Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning

This work investigates the impact of temporal consistency in latent space on task representation learning, showing that enforcing multi-step predictions in latent space encourages task representations that are able to capture task-dependent dynamics while preventing representation collapse.