PPAAS uses a goal-conditioned Soft Actor-Critic policy with Pareto-front goal sampling and conservative hindsight replay to improve PVT-aware analog circuit sizing efficiency.
EVDMARL: Efficient Value Decomposition-Based Multi-Agent Reinforcement Learning with Domain-Randomization for Complex Analog Circuit Design Migration,
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PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning
PPAAS uses a goal-conditioned Soft Actor-Critic policy with Pareto-front goal sampling and conservative hindsight replay to improve PVT-aware analog circuit sizing efficiency.