{"id":"2308.07541","title":"On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing","url":"https://codeofpaper.com/paper/2308.07541","arxiv_url":"https://arxiv.org/abs/2308.07541","published":"2023-08-15","code":"community","best":{"full_name":"ahmadpanah/RL-based-agent-Serverless","url":"https://github.com/ahmadpanah/RL-based-agent-Serverless","tier":"high_confidence_community","stars":1,"license":null,"framework":null,"language":"Python","last_commit":"2024-11-25T17:41:30"},"most_starred_community":null,"implementations":[{"full_name":"ahmadpanah/RL-based-agent-Serverless","url":"https://github.com/ahmadpanah/RL-based-agent-Serverless","tier":"high_confidence_community","stars":1,"license":null,"framework":null,"language":"Python","last_commit":"2024-11-25T17:41:30"}],"possible_matches":0}