JEDI
Dataset Analysis
Proposes JEDI, a latent diffusion world model to address performance asymmetry in MBRL on Atari100k, achieving balanced human-normalized scores.
Provenance
Collected from papers.
Derived from paper: JEDI: Latent End-to-end Diffusion Mitigates Agent-Human Performance Asymmetry in Model-Based Reinforcement Learning