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洞見 - Generative Flow Networks (GFlowNets)
Local Search GFlowNets: Enhancing GFlowNets Training with Local Search
Enhancing the training effectiveness of Generative Flow Networks (GFlowNets) through local search to improve mode seeking and average reward performance.
Local Search GFlowNets: Enhancing GFlowNet Training with Local Search
Local Search GFlowNets enhances training effectiveness by leveraging local search in object space, improving mode seeking and average reward performance.
Dynamic Backtracking in GFlowNet: Enhancing Decision-Making with Reward-Guided Exploration
Dynamic Backtracking GFN (DB-GFN) enhances the adaptability of GFlowNet decision-making through a reward-based dynamic backtracking mechanism, enabling more efficient exploration of the sampling space and generating higher-quality samples.
