Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards

Research article (2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD), 2022) · cited 12× · AI/ML
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Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards

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Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards is a scholarly article[1].

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  • Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-for-analog-circuit-sizing-with-an-electrical-design-space-and-sparse-rewards
MLA “Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-for-analog-circuit-sizing-with-an-electrical-design-space-and-sparse-rewards.
BibTeX @misc{4ortxyz_deep-reinforcement-learning-for-analog-circuit-sizing-with-an-electrical-design-space-and-sparse-rewards_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-for-analog-circuit-sizing-with-an-electrical-design-space-and-sparse-rewards}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards — https://4ort.xyz/entity/deep-reinforcement-learning-for-analog-circuit-sizing-with-an-electrical-design-space-and-sparse-rewards (retrieved 2026-05-24)

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