Author

He-Jun Wu

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#artificial intelligence Preprint Sep 2026

MA-FPPO: Multi-Agent Flow-Pretrained Policy Optimization

Multi-agent flow policies learn cooperative behavior from fixed offline datasets, but often struggle to complete tasks in situations not covered by the offline data. In these situations, agents must both adapt to changes in the environment and coordinate with one another, yet action patterns learned offline are often i...

Guo-Wei Zou, Hao-Nan Chen, Hai-Tao Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

G2MAF: Test-Time Gradient Guidance for Multi-Agent Flow Policies

Offline multi-agent reinforcement learning (MARL) learns cooperative policies from fixed datasets without further environment interaction and a learned policy is frozen at deployment. Such a frozen policy typically proposes a single joint action and executes it directly at deployment time. However, this one-shot deploy...

Guo-Wei Zou, Hai-Tao Wang, Guo-Xin Wang et al. · 0 citations