Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Transfer-Learning
Successor Representations a Map of Where You Are Going
Understand successor representations — the elegant middle ground between model-free and model-based RL that enables fast adaptation and transfer across tasks.Knowledge Distillation Teaching Smaller Agents From Larger Ones
Learn how knowledge distillation enables large, expensive AI agents to teach smaller, faster ones — reducing cost and latency while preserving capabilityMeta-Learning and Few-Shot Adaptation in AI Agents
How agents learn to learn, adapting rapidly to new tasks with minimal examples through meta-learning and few-shot learning techniques.