arXiv (All)
open access
EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents
Training LLM agents to interact with users over multiple turns is challenging because the learning signal depends not only on the agent, but also on the user simulator and environment, which jointly shape the agent's experience. Simulated users can be stochastic or inconsistent, while environments m
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ADF-EA: A Unified Execution Assurance System for Agent Device Foundation#1105250
- SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems#180716
- Agentic Data Environments#349677
- Beyond Skill Evolution: Self-Evolving Context Management Policies for Long-Horizon Agent Harnesses#1128911
- Web$hell: A Unified Interface for Agentic Web Access#1297768
Record · ID 1328113
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive