CCKS: Consensus-based Communication and Knowledge Sharing
In Decentralized Training and Decentralized Execution (DTDE) for cooperative Multi-Agent Reinforcement Learning (MARL), action-advising-based knowledge sharing promotes interpretable and scalable cooperation among agents. However, current action advising approaches often adhere too much to the teacher's guidance without evaluating teacher-student compatibility, which causes excessive advising, suboptimal stability, and degraded performance. To overcome these challenges, this paper presents a Consensus-based Communication and Knowledge Sharing (CCKS) framework, which allows agents to adopt recommendations based on consensus-derived constraints and to follow the teacher's instructions more ...
| Authors | Jinyuan Zu, Xiaowei Lv, Yongcai Wang et al. |
|---|---|
| Primary category | cs.MA |
| Published | 10 June 2026 |
| Last updated at source | 10 June 2026 |
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