ResearchResearch paperRobotics & Embodied AI · Reasoning & Planning · Reinforcement Learning1 source · Oct 20, 2026

Second Thoughts: Exploring and Planning through Comparative Imagination in World Models

We introduce SDI (Sibling Disagreement in Imagination), which connects these decisions through a shared actor-based reference.

Key points

  • World models let agents compare imagined outcomes before acting, but an agent must still decide which alternatives to explore and when a proposed plan should replace its learned policy.
  • SDI compares action sequences imagined from the same model state, using repeated rollouts of the actor's own sequence to measure variation under fixed behavior.
  • Component ablations and robustness analyses further examine the roles of exploration, planning exposure, and action acceptance.
  • Together, these results support comparing imagined alternatives against a shared actor reference as a unified approach to exploring and planning with world models.

Sources (1)

  • [1]Second Thoughts: Exploring and Planning through Comparative Imagination in World Models
    arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 20, 06:12 PM
    We introduce SDI (Sibling Disagreement in Imagination), which connects these decisions through a shared actor-based reference.
    World models let agents compare imagined outcomes before acting, but an agent must still decide which alternatives to explore and when a proposed plan should replace its learned policy.

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 20, 2026OverSeer: Multi-Agent World Models Beyond What Agents See
  2. Oct 19, 2026EmbodiedWorld-200K: Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models
  3. Oct 19, 2026Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience
  4. Oct 19, 2026Agent World Model in the Wild: Computer-Use Agent Environment Synthesis
  5. Oct 19, 2026AnyGoal: On World Model Generalization Beyond Expert Rollouts
  6. Oct 19, 2026PVBench: Quantifying Physical Plausibility in Video Generation with Object-Level Physical Measurements

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