long-horizon planning 1multi-agent systems 1scene graphs 1strategy game AI 1tool-augmented planning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AI2026
SAGA: Scene-Aware, Goal-Evolving Agents for Long-Horizon Strategy Game Planning
Tianyu Jin, Shuo Chen, Yida Wang +6
SAGA is a multi-agent framework that uses large language models to plan long‑term strategies in complex games by representing the game world as a scene graph, retrieving state on d…
cs.MA2025
Simulation-Free PSRO: Removing Game Simulation from Policy Space Response Oracles
Yingzhuo Liu, Shuodi Liu, Weijun Luo +2
Policy Space Response Oracles (PSRO) combines game-theoretic equilibrium computation with learning and is effective in approximating Nash Equilibrium in zero-sum games. However, th…
cs.CL2025
Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models
Shuodi Liu, Yingzhuo Liu, Zi Wang +4
Large language models (LLMs) have demonstrated remarkable reasoning and planning capabilities, driving extensive research into task decomposition. Existing task decomposition metho…