Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Hierarchical-Rl
Temporal Abstraction and the Options Framework How Agents Learn to Think in Subgoals
Understand how AI agents escape the curse of shortsightedness by learning reusable subgoals and temporally extended actions through the Options FrameworkBuilding Reusable Agent Capabilities with Skill Libraries
How AI agents acquire, store, and compose reusable skills—from hierarchical reinforcement learning to LLM-based skill synthesis and the emerging paradigm of lifelong learning agents.