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Nishaanth Kanna Ravichandran

2 accepted papers

2024

On The Fairness Impacts of Hardware Selection in Machine Learning

ICML 2024poster

In the machine learning ecosystem, hardware selection is often regarded as a mere utility, overshadowed by the spotlight on algorithms and data. This is especially relevant in contexts like ML-as-a-service platforms, where users often lack control over the hardware used for model deployment. This pa…

Cited by 2SourcePDFScholar
2023

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning

NeurIPS 2023poster

Neural MMO 2.0 is a massively multi-agent and multi-task environment for reinforcement learning research. This version features a novel task-system that broadens the range of training settings and poses a new challenge in generalization: evaluation on and against tasks, maps, and opponents never see…