84 citations · 115 across the 24 of their papers we have counts for
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cs.AI2024★ 1 cited
PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Sihao Hu, Tiansheng Huang, Ling Liu
We introduce PokeLLMon, the first LLM-embodied agent that achieves human-parity performance in tactical battle games, as demonstrated in Pokemon battles. The design of PokeLLMon in…
cs.AI2024★ 6 cited
A Survey on Large Language Model-Based Game Agents
Sihao Hu, Tiansheng Huang, Gaowen Liu +6
Game environments provide rich, controllable settings that stimulate many aspects of real-world complexity. As such, game agents offer a valuable testbed for exploring capabilities…