Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)(2021)
Abstract
Reinforcement learning (RL) has gained attention recently as an optimization algorithm for chip design. This method treats many chip design problems as Markov decision problems (MDPs), where design optimization objectives are converted into rewards given by the environment and design variables are converted into actions provided to the environment. Some recent examples include applications of RL t...
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Key words
Training,Layout,Training data,Reinforcement learning,Very large scale integration,Routing,Chip scale packaging
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