Self-adaptive PSRO : Towards an automatic population-based game solver

• Main Authors: LI, Pengdeng, LI, Shuxin, YANG, Chang, WANG, Xinrun, HUANG, Xiao, CHAN, Hau, AN, Bo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Equilibrium policies learning; Policy-Space Response Oracles framework; Hyperparameter values pptimization; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9828; https://ink.library.smu.edu.sg/context/sis_research/article/10828/viewcontent/0016.pdf
• Institution: Singapore Management University

Policy-Space Response Oracles (PSRO) as a general algorithmic framework has achieved state-of-the-art performance in learning equilibrium policies of two-player zero-sum games. However, the hand-crafted hyperparameter value selection in most of the existing works requires extensive domain knowledge,...