Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Machine Learning
Reward Shaping and Credit Assignment for Guiding Agent Learning
Master the art and science of designing reward functions and solving the credit assignment problem—the key to training agents that learn efficiently and align with human intentions.Contextual 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.Scaling Agent Intelligence Through Specialization with Mixture of Experts
What if instead of one generalist agent struggling with everything, you could dynamically route tasks to specialized ex...Policy Gradient Methods and Actor-Critic Architectures
Master the mathematics and implementation of policy gradient methods and actor-critic architectures—the foundation of modern agent learning systems.An Introduction to Reinforcement Learning for AI Agents
## 1. Concept Introduction At its heart, Reinforcement Learning (RL) is about learning from trial and error. Imagine t...