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cs.AI2026
FARL: A Fully Automated Pipeline of RL Interface and Solver Design
Tianyu Jin, Liuyu Xiang, Chaowen Yang +3
Existing reinforcement learning (RL) largely focuses on optimizing learning algorithms within a pre-defined task formulation, while applying RL to new tasks still relies heavily on…
cs.AI2026
SAGA: Scene-Aware, Goal-Evolving Agents for Long-Horizon Strategy Game Planning
Tianyu Jin, Shuo Chen, Yida Wang +5
Grand-strategy games such as Civilization pose a distinctive long-horizon planning problem: an agent must divide one shared resource pool among six competing domains -- technology,…