Studied latent world models fail a faithfulness test
Original title: Understanding the limits of latent world models
Latent rollout consistency checks whether action-conditioned latent prediction matches the environment transition map.
The paper defines faithful latent world models as equivariance between an environment's transition map and learned latent dynamics. It proposes latent rollout consistency to evaluate action-conditioned latent prediction. Across the state-of-the-art latent world models studied, the authors say none solves its task by faithfully modeling the environment's dynamics.
Unconfirmed: The paper does not name the specific world models in this abstract.
- Existing evaluations often emphasize task performance over latent structure.
- Latent rollout consistency is the proposed prediction metric.
- The negative finding covers only the models the authors studied.
From the original article
1 min read at arxiv.orgWorld models are widely proposed as core components for enabling agents to reason over long temporal and spatial horizons. Yet current evaluations often emphasize task performance while providing limited insight into whether learned world models acquire predictive latent dynamics that reflect the underlying structure of the environment.
By Rodrigo Gonzalez Laiz · arxiv.org
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