![](images/graphics/blank.gif)
Hierarchical reinforcement learning
-
Self-balancing control is the basis for applications of two-wheeled robots. In order to improve the self-balancing of twowheeled robots, we propose a hierarchical reinforcement learning algorithm for controlling the balance of two-wheeled robots.
11p
vivalletta2711
11-01-2020
30
3
Download
-
This paper proposes an algorithm for cooperative policy construction for independent learners, named Q-learning with aggregation (QA-learning). The algorithm is based on a distributed hierarchical learning model and utilises three specialisations of agents: Workers, tutors and consultants.
14p
vititan2711
13-08-2019
15
0
Download
-
Surface realisation decisions in language generation can be sensitive to a language model, but also to decisions of content selection. We therefore propose the joint optimisation of content selection and surface realisation using Hierarchical Reinforcement Learning (HRL). To this end, we suggest a novel reward function that is induced from human data and is especially suited for surface realisation.
6p
hongdo_1
12-04-2013
58
4
Download