Order isomorphisms transmit optimality across dynamic program formulations, with applications to Epstein-Zin preferences and numerical value function improvements.
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dFlowGRPO is a new rate-aware RL method for discrete flow models that outperforms prior GRPO approaches on image generation and matches continuous flow models while supporting broad probability paths.
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Isomorphic Dynamic Programs
Order isomorphisms transmit optimality across dynamic program formulations, with applications to Epstein-Zin preferences and numerical value function improvements.
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dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models
dFlowGRPO is a new rate-aware RL method for discrete flow models that outperforms prior GRPO approaches on image generation and matches continuous flow models while supporting broad probability paths.