Breaking the Environment Wall: A Unified Framework for Preparing and Evolving Agent-Native Environments
cs.AI
Submitted: 2026-09-24
Updated: 2026-09-27
Terminology
Sources
- Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies
- RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
- Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
- Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis
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