RLVE
HoldTechniques
A reinforcement-learning framework for verifiable environments and rewards.
Why it's here
Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Hugging Face Blog·4/16/2026researchEcom-RLVE Brings Verifiable Reinforcement Learning to E-Commerce Agents
Hugging Face introduces EcomRLVE-GYM, an extension of RLVE for multi-turn, tool-augmented e-commerce conversations. The project defines eight algorithmically verifiable shopping environments, a 12-axis difficulty curriculum, and early training results using Qwen 3 8B with DAPO.