A core task abstraction approach to hierarchical reinforcement learning [Extended abstract]

A core task abstraction approach to hierarchical reinforcement learning [Extended abstract]

We propose a new, core task abstraction (CTA) approach to learning the relevant transition functions in model-based hierarchical reinforcement learning. CTA exploits contextual independences of the state variables conditional on the task-specific actions; its promising performance is demonstrated th...

Full description

Saved in:
Bibliographic Details
Main Authors: LI, Zhuoru, NARAYAN, Akshay, Tze-Yun LEONG
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
hierarchical reinforcement learning
core task abstraction
Computer Sciences
Numerical Analysis and Scientific Computing
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/3431
https://ink.library.smu.edu.sg/context/sis_research/article/4432/viewcontent/Acoretaskabstractionapproachto.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
Description
Summary:We propose a new, core task abstraction (CTA) approach to learning the relevant transition functions in model-based hierarchical reinforcement learning. CTA exploits contextual independences of the state variables conditional on the task-specific actions; its promising performance is demonstrated through a set of benchmark problems.

Similar Items