# Online Learning and Planning in Cognitive Hierarchies

arXiv: https://arxiv.org/abs/2310.12386 · HTML: https://mlsanity.com/paper/2310.12386/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 15 references that are in the map.
- First posted on arXiv 18 Oct 2023.

## Builds on (most cited first, 1 of 1)

- [Perceptual Context in Cognitive Hierarchies](https://mlsanity.com/paper/1801.02270/) (2018)

## Abstract (arXiv)

Complex robot behaviour typically requires the integration of multiple robotic and Artificial Intelligence (AI) techniques and components. Integrating such disparate components into a coherent system, while also ensuring global properties and behaviours, is a significant challenge for cognitive robotics. Using a formal framework to model the interactions between components can be an important step in dealing with this challenge. In this paper we extend an existing formal framework [Clark et al., 2016] to model complex integrated reasoning behaviours of robotic systems; from symbolic planning through to online learning of policies and transition systems. Furthermore the new framework allows for a more flexible modelling of the interactions between different reasoning components.