arxiv
PublishedSeptember 4, 2026 at 4:00 AM
—neutral
LLM-Guided Reinforcement Learning for Adaptive NPC Behavior in Multi-Agent Combat Games
Publisher summary· verbatim
arXiv:2609.02931v1 Announce Type: cross Abstract: 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 re
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Originally published on arxiv ↗