# Ecom-RLVE: Adaptive Verifiable Environments for E-Commerce Conversational Agents

DevFeed: [Ecom-RLVE: Adaptive Verifiable Environments for E-Commerce Conversational Agents](<https://devfeed.tech/articles/ecom-rlve-adaptive-verifiable-environments-for-e-commerce-conversational-agents-7178.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/ecom-rlve>)

Author: Rahul Bajaj; Jaya Nupur; Anuj Garg; ben burtenshaw

Published: 2026-04-16T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [rlvr](<https://devfeed.tech/topics/rlvr.md>), [openenv](<https://devfeed.tech/topics/openenv.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [qwen](<https://devfeed.tech/topics/qwen.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [customer-service](<https://devfeed.tech/tags/customer-service.md>), [e-commerce](<https://devfeed.tech/tags/e-commerce.md>), [llm](<https://devfeed.tech/tags/llm.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [openenv](<https://devfeed.tech/tags/openenv.md>), [qwen](<https://devfeed.tech/tags/qwen.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [research](<https://devfeed.tech/tags/research.md>), [rlvr](<https://devfeed.tech/tags/rlvr.md>), [tools](<https://devfeed.tech/tags/tools.md>), [training](<https://devfeed.tech/tags/training.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

## AI overview

Ecom-RLVE introduces EcomRLVE-GYM, a suite of verifiable, multi-turn, tool-augmented e-commerce environments for training conversational agents. It uses procedural task generation, adaptive difficulty, and algorithmically verifiable rewards across shopping and customer-service workflows, with early results from training a Qwen 3 8B model using DAPO.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.