arXiv Machine Learning July 31, 2026 By Takumi Shioda, Kohei Terashima, Tatsuo Nagai

Exact Action Values Are Not Enough: Rollout-Verified Reinforcement Fine-Tuning of a Reasoning Model for Multi-Zone VAV Control

Read the original on arXiv Machine Learning →

arXiv:2607. 27914v1 Announce Type: new Abstract: Multi-zone variable-air-volume control must balance thermal comfort, indoor air quality, and electricity use across several continuous actuators.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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