2026
Predictive Control of BDD Growth: Reinforcement Learning for Dynamic Variable Reordering
This proposal develops a structure-aware and planning-based approach to dynamic reordering and introduces a compositional neural encoder that operates directly on BDD structure, enabling the use of deep reinforcement learning to guide reordering decisions.
Luke Slater
· KR Doctoral Consortium · 0 citations