3 papers
cs.AI2026
OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction
Junxing Hu, Tianlong Li, Lei Yu +1
Deploying production-ready multi-agent systems (MAS) in complex industrial environments remains challenging due to limitations in scalability, observability, and autonomous evoluti…
cs.AI2026
HiMA-Ecom: Enabling Joint Training of Hierarchical Multi-Agent E-commerce Assistants
Junxing Hu, Ai Han, Haolan Zhan +7
Hierarchical multi-agent systems based on large language models (LLMs) have become a common paradigm for building AI assistants in vertical domains such as e-commerce, where a mast…
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…