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November 9, 2026
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Patricia Lazatin
When the Goal Only Happens Once, Teach Agents With Leading Indicators
April 24, 2025
Schaun Wheeler
The Explore/Exploit Tradeoff: Understanding Its True Implications in AI Systems
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April 24, 2025
Schaun Wheeler
Five Pillars of Agentic Decision Making
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April 21, 2025
Schaun Wheeler
A/B Testing vs. Bandits vs. Predictive Models vs. Agentic Learners: A Stock Market Analogy
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April 18, 2025
Schaun Wheeler
The Importance of Abstraction Layers in Agentic Systems
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April 14, 2025
Schaun Wheeler
Why Agents Can’t Learn from Historical Data: The Importance of Counterfactuals
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March 7, 2025
Eleanor Hanna
Managing (Agentic) Expectations: A Case Study in Memory Management
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November 17, 2024
Jim Laurain
What Is an AI Agent? Definitions, Inputs, and Outputs
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October 20, 2024
Team Aampe
Adaptive Recommender Systems: A Bandit Approach
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September 11, 2024
Schaun Wheeler
Optimized Messaging with Learned Weights and Beta Distribution
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September 6, 2024
Schaun Wheeler
The LLM Alignment problem
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September 6, 2024
Team Aampe
Message Catalogs on Aampe
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September 6, 2024
Jim Laurain
The Fluid Dynamics of Message Personalization
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