Invention Application
- Patent Title: REINFORCEMENT LEARNING BASED SCHEME FOR TUNING MEMORY INTERFACES
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Application No.: US17084508Application Date: 2020-10-29
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Publication No.: US20220138613A1Publication Date: 2022-05-05
- Inventor: Uttkarsh WARDHAN , Vishal GHORPADE , Sanku MUKHERJEE , Madan KRISHNAPPA , Pankhuri AGARWAL , Sanath Sreekanta BANGALORE , Santanu PATTANAYAK
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
A method performed by a machine learning system includes generating a set of reward values based on a set of parameter values selected by a machine learning system, each reward value of the set of reward values corresponding to a parameter value of the set of parameter values programmed at a device. The method also includes determining a reward function for maximizing a reward corresponding to a set of parameters of the device based on the set of reward values. The method further includes tuning a parameter of the set of parameters based on the reward function.
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