arXiv (OAI Expanded)
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LLM-Guided Reinforcement Learning for Adaptive NPC Behavior in Multi-Agent Combat Games
Scripted and rule-based non-player characters (NPCs) in combat video games often exhibit predictable behaviors that experienced players can exploit, while reinforcement learning (RL) agents typically retain a fixed policy after training and cannot readily adapt their strategy to different opponents.
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