The authors model action selection using a task description, interaction history and candidate next action.
Reverse scoring helps diffusion agents escape repeated failed actions
Reflect Reverse reranks candidate actions by how well they explain the task, reducing retry loops without additional training.
Chinese Tech
Jiacheng Qiu · Christopher E. Mower · Jan Peters · Haitham Bou-Ammar · Matthieu Zimmer
Huawei Noah’s Ark Lab · Technical University of Darmstadt · UCL Centre for AI
Research Digest··3 min read
Qiu et al.
Why this paper
From Huawei Noah’s Ark Lab and 2 others
In one line
Diffusion language model agents retry failed actions due to task-blind bias; reverse scoring corrects this without retraining.
What we could check
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