2 papers
cs.LG2025
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
Soumyendu Sarkar, Avisek Naug, Antonio Guillen +7
Reducing the environmental impact of cloud computing requires efficient workload distribution across geographically dispersed Data Center Clusters (DCCs) and simultaneously optimiz…
cs.LG2020
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings
Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas
This paper demonstrates that continual relearning of control policies using incremental deep reinforcement learning (RL) can improve policy learning for non-stationary processes. W…