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opportunity-cost

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Bin-Cao / Bgolearn

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[arXiv:2601.06820] Offical implement of Bgolearn

material-design materials knowledge-gradient adaptive-learning materials-science materials-informatics active-learning expected-improvement upper-confidence-bound opportunity-cost bayesian-global-optimization predictive-entropy-search mlmd probability-of-improvement least-confidence margin-sampling entropy-based-approach augmented-expected-improvement trail-path bgolearn
  • Updated May 22, 2026
  • Jupyter Notebook

Shivang0 / tangent-rule

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The Tangent Rule: an opportunity-cost stopping controller for agentic AI (when to stop reasoning, retrieving, or looping). Reference code, regime-shift simulation, and a Claude Code plugin. Paper: Trivedi (2026).

reinforcement-learning mcp foraging ai-agents rag opportunity-cost optimal-stopping average-reward large-language-models llm agentic-ai test-time-compute claude-code inference-time-scaling marginal-value-theorem
  • Updated Jun 23, 2026
  • Python

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