Hybrid AI for Combat Simulation: Deep Reinforcement Learning Meets Scripted Agents

This ArXiv paper explores a promising approach by combining deep reinforcement learning with scripted agents, potentially creating more sophisticated and adaptable AI in combat scenarios. The hybrid model could overcome limitations of either approach alone, such as the inflexibility of scripted agents and the training challenges of reinforcement learning.

• •Combines deep reinforcement learning and scripted agents.
• •Aims to enhance AI adaptability and performance in combat.
• •Published on ArXiv, suggesting early-stage research.