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cs.LG2026
Beyond Timestamps: Decision-Aligned On-Policy Distillation for Long-Horizon Agents
Mingju Chen, Can Lv, Jinrong Liu +3
Reinforcement learning with verifiable rewards (RLVR) often relies on sparse outcome rewards, providing coarse supervision for long-horizon agents. On-policy self-distillation (OPS…
cs.LG2025
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Guibin Zhang, Kaijie Chen, Guancheng Wan +5
The past two years have witnessed the evolution of large language model (LLM)-based multi-agent systems from labor-intensive manual design to partial automation (\textit{e.g.}, pro…