World Agent: Can Language Models Keep a World Running?
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Code: https://github.com/HCPLab-SYSU/WorldAgent-Benchmark
Project page: https://oasis-model.github.io
Terminology
Sources
- GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions
- The GEST-Engine: From Event Graphs to Synthetic Video. A Full Technical Report
- World Models
- PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution
- AI for Games in the Foundation Model Era
- GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
- What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking
- WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection