/UniversalCaching

IITM-Simulations

Primary LanguageJupyter Notebook

UniversalCaching

To reproduce the experiments for Universal Caching, run the UniversalCaching.ipynb notebook.

Relevent functions: generate_data_fsm in data_generation.py hedge_fsm_single_cache, markov_online_single_cache, ftpl in caching_policy.py

reference repos: github.com/AbhishekMITIITM/LeadCache-NeurIPS21