agent-driven simulation
Autonomous agents automatically generate, control, or extend simulations to improve accuracy, interactivity, or performance.
- Papers
- 9
- Released code
- 1
- First seen
- July 2026
- Latest
- Sept 2026
7 papers in the last two months, against 2 in the two before.
Who is working on it
Carnegie Mellon University 2
The papers
Most central to this idea first, not most recent.
- Top Universitycs.CL
Simulated user personas improve agents’ handling of multi-turn workflows
State Key Laboratory of Multimedia Information Processing, Peking University · Sept 2026
- Top Universitycs.AR
Coding agents extend LLM serving simulators with greater fidelity and speed
KAIST · Aug 2026
- Industrycs.AI
Synthetic rewards train agents to diagnose simulated advertising anomalies
Independent Researchers · Sept 2026
- Independentcs.CV
Coding agents combine generated imagery with editable web-based visual layouts
Sept 2026
- Top Universitycs.AI
Financial agents can cite rules while still attempting prohibited trades
HKUST, HKBU · Aug 2026
- Top Universitycs.CVcode
MLLMs fail to sustain goal-directed navigation in real-scale 3D city
Shanghai Jiao Tong University, National University of Singapore · Aug 2026
- Independentcs.CV
World simulator achieves infinite interaction and agentic control
July 2026
- Top Universitycs.AI
Multi-agent system creates editable 4D scenes from text prompts
Carnegie Mellon University, Harvard University · July 2026
- Top Universitycs.RO
Coding agents synthesize robot planners that generalize to unseen instances
Fondazione Bruno Kessler, Carnegie Mellon University · Sept 2026
Concepts are extracted from each paper and reused across the corpus, so this page grows on its own as the desk reads.