CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization

Tewodros Ayalew, Matthew Jeung, Samuel Wheeler +5

We introduce CLAW, a fully end-to-end self-supervised framework for learning a world model jointly with continuous latent action representations directly from action-free videos. O…