AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning | ScienceToStartup | ScienceToStartup

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References (35)

[1]

AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMs

2025Yao Lai, Souradip Poddar et al.

[2]

AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies

2025Jian Gao, Weidong Cao et al.

[3]

BAG3++: An Extensible Generator Framework for Automated Layout-Aware AMS Design

Founder's Pitch

"AstRL automates analog circuit design using deep reinforcement learning to optimize design metrics beyond state-of-the-art."

Reinforcement Learning for Circuit Design•Score: 5•View PDF ↗

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AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning

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References (35)

Founder's Pitch

"AstRL automates analog circuit design using deep reinforcement learning to optimize design metrics beyond state-of-the-art."

Commercial Viability Breakdown

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Why It Matters

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Disruption

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AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning

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References (35)

Founder's Pitch

"AstRL automates analog circuit design using deep reinforcement learning to optimize design metrics beyond state-of-the-art."

Commercial Viability Breakdown

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