deepxube and DeepCubeAI

These are complementary approaches to learning neural network heuristics for combinatorial search problems, with DeepCubeAI using discrete world models while DeepXube learns domain-specific heuristics directly, allowing practitioners to combine both techniques or choose based on whether explicit state transition modeling is beneficial for their pathfinding domain.