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Ziteng He

2 accepted papers

2026

Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching

ICLR 2026poster

Offline reinforcement learning (RL) has achieved notable progress in recent years. However, most existing offline RL methods require a large amount of training data to achieve reasonable performance and offer limited out-of-distribution (OOD) generalization capability due to conservative data-relate…

Cited by 0SourceScholar
2025

Data Center Cooling System Optimization Using Offline Reinforcement Learning

ICLR 2025poster

The recent advances in information technology and artificial intelligence have fueled a rapid expansion of the data center (DC) industry worldwide, accompanied by an immense appetite for electricity to power the DCs. In a typical DC, around 30-40% of the energy is spent on the cooling system rather…

Cited by 0SourcePDFScholar