OpenAI Blog · Oct 26, 2017
Learning a hierarchy
Reviewed by Errol Vogt, Site support technician & online learning analyst · original summary · editorial policy
Learning a hierarchy. We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allowing fast solving of tasks requiring thousands of timesteps. Our algorithm, when applied to a set of navigation problems, discovers a set of high-level actions for walking and crawling in different directions, which enables the agent to master new navigation tasks quickly. This update is relevant for small-office operators tracking changes in their tools.
Operator takeaway: For operators: review whether 'Learning a hierarchy' affects your current setup before relying on it in production.