#TD3

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1 paper match

cs.LG2026

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

Takumi Shioda, Kohei Terashima, Tatsuo Nagai

The paper investigates using a reasoning language model and TD3-guided reinforcement fine‑tuning to control multi‑zone variable‑air‑volume HVAC systems without building‑specific tr…

#hvac control#multi-zone vav#reinforcement learning#large language models