Search Results for author: Ricardo Luna

Found 3 papers, 1 papers with code

Sustainability of Data Center Digital Twins with Reinforcement Learning

1 code implementation16 Apr 2024 Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi

To tackle this, we've developed DCRL-Green, a multi-agent RL environment that empowers the ML community to design data centers and research, develop, and refine RL controllers for carbon footprint reduction in DCs.

reinforcement-learning Reinforcement Learning (RL)

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time

no code implementations21 Mar 2024 Soumyendu Sarkar, Avisek Naug, Ricardo Luna, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu

As machine learning workloads significantly increase energy consumption, sustainable data centers with low carbon emissions are becoming a top priority for governments and corporations worldwide.

Multi-agent Reinforcement Learning

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