V. Poddar

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration

ORACLE is an open-source RL-based framework for MO analog circuit design optimization that replaces scalar reward optimization with vector-valued learning and preference-aware conditioning, and incorporates a large language model (LLM)-guided action selection mechanism to filter actions that are likely to lead to subop...