MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learningNeurocomputing (Neurocomputing), 2025 |
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 |
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic DiversityInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 |