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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Yao Lu

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Book Open access Aug 2026

Reinforcement Learning with Scenario-Context Rollout in Portfolio Management

This work proposes Scenario-Context Rollout (SCR), a macroeconomics-guided feedback mechanism to produce a distribution of next-day joint returns under potential economic shocks, and theoretically analyze this problem and shows that combining scenario-scored rewards with tape-realized transitions induces a hybrid fixed...

Vanya Priscillia Bendatu, Yao Lu · 0 citations
Preprint Sep 2026

Latency-Aware Orchestration for Multi-Agent LLM Workflows on Heterogeneous GPUs

A prediction-guided runtime that uses workflow forecasts to construct and optimize a physical execution graph and reduces end-to-end makespan and overall p95 completion latency under burst arrivals by up to 36.8% and 25.8% over state-of-the-art workflow schedulers.

Jing-Hao Wang, Yi-Feng Zhang, Xiao Zhou et al. · 0 citations
Book Open access Aug 2026

Reinforcement Learning with Scenario-Context Rollout in Portfolio Management

This work proposes Scenario-Context Rollout (SCR), a macroeconomics-guided feedback mechanism to produce a distribution of next-day joint returns under potential economic shocks, and theoretically analyze this problem and shows that combining scenario-scored rewards with tape-realized transitions induces a hybrid fixed...

Vanya Priscillia Bendatu, Yao Lu · 0 citations

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