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Author

Shangqing Tu

Papers that credit Shangqing Tu in their source bylines. Matching names may refer to different researchers.

1 results

PaperAI & Agents
Multi-turn RL gains depend on interaction budgets
An analysis of multi-turn language-model agents finds budget-sensitive gains and tests training across interaction limits.
Added to Chiosa Nov 06, 2026
#agentic-ai #compositional-reinforcement-learning #long-horizon-control

Shangqing Tu

Multi-turn RL gains depend on interaction budgets