Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization
Benchmark
Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization
Benchmark
This paper proposes a novel variant of GFlowNet, genetic-guided GFlowNet (Genetic GFN), which integrates an iterative genetic search into GFlowNet. Genetic search effectively guides the GFlowNet to high-rewarded regions, addressing global over-exploration that results in training inefficiency and exploring limited regions. In addition, training strategies, such as rank-based replay training …