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AnyGoal: On World Model Generalization Beyond Expert Rollouts

Paper recorded by Signals 4 on 2026-10-19 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-19 on arXiv · recorded by Signals 4 on 2026-10-20

Category: cs.AI · 人工智能 · first seen 2026-10-20

Abstract

The goal of a world model is to capture the dynamics of an environment. This has the great appeal that it allows agents to plan and simulate a course of actions with the help of a world model. For these uses to be reliable, however, the learned dynamics must behave well beyond the specific state-action combinations observed in expert rollouts. Despite this, the relationship between data coverage,

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#247 most recent of 960 cs.AI papers we have recorded · ↑ newer: Train An Imaginative Agent · ↓ older: LatComm: Reusable Context Compression for Latent Communication between
Cite this page: AnyGoal: On World Model Generalization Beyond Expert Rollouts: the #247 most recent of 960 cs.AI papers we have recorded (as of 2026-10-19). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/anygoal-on-world-model-generalization-beyond-expert-rollouts.html
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