From the 1 of 4 linked papers with an AI index.
4 papers
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…
Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game
Honglei Guo, Yuhan Zhao, Yexin Li
Reinforcement learning has increasingly been applied to economic decision-making, including taxation, public spending, and labor supply. However, existing RL-based economic models…
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning
Yexin Li
Exploration remains a fundamental challenge in reinforcement learning, as many existing methods either lack theoretical guarantees or fall short in practical effectiveness. In this…
Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective
Yipeng Kang, Junqi Wang, Yexin Li +8
As large language models (LLMs) become increasingly integrated into critical applications, aligning their behavior with human values presents significant challenges. Current method…