95 citations · 95 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Rollout-Training Co-Design for Efficient LLM-Based Multi-Agent Reinforcement Learning
Zhida Jiang, Zhaolong Xing, Jiawei Lu +13
Despite algorithm-level innovations for multi-agent reinforcement learning (MARL), the underlying networked infrastructure for large-scale MARL training remains underexplored. Exis…
cs.DC2021★ 95 cited
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation
Zimu Zheng, Qiong Chen, Chuang Hu +2
On edge devices, data scarcity occurs as a common problem where transfer learning serves as a widely-suggested remedy. Nevertheless, transfer learning imposes a heavy computation b…