Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Decision-Making
Causal Reasoning and Intervention Planning in AI Agents
How AI agents can move beyond correlation to understand cause and effect, enabling more robust planning, better tool use, and reliable interventions in the real worldMulti-Armed Bandits and the Exploration-Exploitation Dilemma in Agent Learning
Master the fundamental problem of sequential decision-making under uncertainty and learn how AI agents balance trying new actions versus exploiting known rewardsContextual Bandits for Balancing Exploration and Exploitation in Real-Time
Master contextual bandits—the algorithm behind personalized recommendations, A/B testing, and adaptive agents. Learn how to balance exploration and exploitation in real-time decision-making.Bellman Equations and Value Functions for Optimal Decision-Making
## 1. Concept Introduction **In Simple Terms:** Imagine you're playing chess and trying to decide your next move. A be...Goal-Oriented Action Planning for Dynamic Problem Solving in Adaptive Agents
Discover how Goal-Oriented Action Planning (GOAP) enables AI agents to dynamically create flexible plans that adapt to changing conditions, from game NPCs to modern autonomous systems.Minimax and Adversarial Search for Decision-Making in Competitive Environments
Master the minimax algorithm and adversarial search - the foundation of game-playing AI agents and competitive decision-making systems.Behavior Trees for Modular Decision-Making in AI Agents
## 1. Concept Introduction **In Simple Terms:** Imagine a robot butler that needs to serve breakfast. Its decision pro...