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cs.GT2025
TUC-PPO: Team Utility-Constrained Proximal Policy Optimization for Spatial Public Goods Games
Zhaoqilin Yang, Xin Wang, Ruichen Zhang +2
We introduce Team Utility-Constrained Proximal Policy Optimization (TUC-PPO), a new deep reinforcement learning framework. It extends Proximal Policy Optimization (PPO) by integrat…
cs.GT2025
PPO-ACT: Proximal Policy Optimization with Adversarial Curriculum Transfer for Spatial Public Goods Games
Zhaoqilin Yang, Chanchan Li, Xin Wang +1
This study investigates cooperation evolution mechanisms in the spatial public goods game. A novel deep reinforcement learning framework, Proximal Policy Optimization with Adversar…