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DataFlex-RL: An Evaluation Platform for RLVR Data Policies

109 upvotes · 5 SEP 2026 · Hao Liang, Mingrui Chen, Hengyi Feng et al.

This paper introduces DataFlex-RL, an evaluation platform for comparing different data policies in reinforcement learning with verifiable rewards (RLVR), and finds that uniform data policy leads to better performance and is more reproducible than other methods. Practitioners might care about this because it provides a way to compare different data policies and ensure that their RLVR models are performing well.

reinforcement learningverifiable rewardsdata policiesbenchmarkinghyperparameter tuning