GPlaceRL: An Open-Source Graph Reinforcement Learning Framework for Detailed Placement
GPlaceRL is presented, an open-source graph reinforcement learning framework for detailed placement refinement that represents legalized placements as graphs and provides a modular environment for studying graph encoders, policy architectures, reward formulations, and local placement actions.
†. PavlosStoikos, †. FoteiniOikonomou, †. ChristosPoulos et al.
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