2 papers
cs.MA2024
JointPPO: Diving Deeper into the Effectiveness of PPO in Multi-Agent Reinforcement Learning
Chenxing Liu, Guizhong Liu
While Centralized Training with Decentralized Execution (CTDE) has become the prevailing paradigm in Multi-Agent Reinforcement Learning (MARL), it may not be suitable for scenarios…
cs.CV2023
Federated Continual Novel Class Learning
Lixu Wang, Chenxi Liu, Junfeng Guo +4
In a privacy-focused era, Federated Learning (FL) has emerged as a promising machine learning technique. However, most existing FL studies assume that the data distribution remains…