Advantage-Guided Diffusion for Model-Based Reinforcement Learning

Daniele Foffano, Arvid Eriksson, David Broman +2

Model-based reinforcement learning (MBRL) with autoregressive world models suffers from compounding errors, whereas diffusion world models mitigate this by generating trajectory se…