the-world-model-remembers-the-actor-forgets-dream

name	the-world-model-remembers-the-actor-forgets-dream-
description	Skill generated from arXiv paper 2607.19749: The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL
metadata	{"arxiv":{"id":"2607.19749","title":"The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL","authors":["Gurp Nijjer"],"published":"2026-07-22","categories":["cs.LG","cs.AI"],"url":"https://arxiv.org/abs/2607.19749","utility":1}}

The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL

arXiv: 2607.19749
Published: 2026-07-22
Authors: Gurp Nijjer
Categories: cs.LG, cs.AI
Utility: 1.00

Key Innovation

Model-based reinforcement-learning agents of the DreamerV3 family forget catastrophically when trained on task sequences, even when an unbounded replay buffer preserves every earlier experience. We ask a question the continual-RL literature has assumed an answer to but never measured: which component forgets? Under never-clear replay, pre-registered component-level probes (n=3 seeds throughout) show that the world model retains essentially everything measurable about old tasks -- reward discrimi...

Potential Application

This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.LG, cs.AI.

References

• arXiv: https://arxiv.org/abs/2607.19749