STRATA: Self-Learning Through Role-Aligned Tiered Agents for Real-Time Strategy Games
cs.AI
Submitted: 2026-09-30
Updated: 2026-09-30
Sources
- Dota 2 with Large Scale Deep Reinforcement Learning
- SMAC-R1: The Emergence of Intelligence in Decision-Making Tasks
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- Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
- SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models
- StarCraft II: A New Challenge for Reinforcement Learning
- JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models
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