2 papers
cs.MA2025
Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
Mengda Ji, Genjiu Xu, Keke Jia +4
This work focuses on the credit assignment problem in cooperative multi-agent reinforcement learning (MARL). Sharing the global advantage among agents often leads to insufficient p…
cs.GT2023
Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning
Mengda Ji, Genjiu Xu, Jianjun Ge +1
Federated learning is a distributed machine learning system that uses participants' data to train an improved global model. In federated learning, participants cooperatively train…