World Models for Policy Refinement in StarCraft II
cs.AI
Submitted: 2026-02-16
Updated: 2026-08-26
Code: https://github.com/yxzzhang/StarWM
Terminology
Sources
- Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents
- Mastering Diverse Domains through World Models
- LoRA: Low-Rank Adaptation of Large Language Models
- LLM-PySC2: Starcraft II learning environment for Large Language Models
- Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach
- Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
- GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
- SC2Arena and StarEvolve: Benchmark and Self-Improvement Framework for LLMs in Complex Decision-Making Tasks
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