Skip To Main Content
Bart Dhoedt on Muck Rack

Bart Dhoedt

As seen in: arXiv, MDPI
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Bart

Contact Bart, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Exploring and Learning Structure: Active Inference Approach in Navigational Agents

|
By de Tinguy, Tim Verbelen, Bart Dhoedt
| arXiv
Want to support truly open science and create access to research, regardless of disability? Sign up for the arXiv Accessibility Forum in September and Learn more.
Open in Who Shared View Duplicates (623) Issue with article?

Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid Environment

|
By Tim Verbelen, Bart Dhoedt, de Tinguy, Daria de Tinguy
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?

[2209.12016] Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels

|
By Tim Verbelen, Aaron Courville, Pietro Mazzaglia, Bart Dhoedt
| arXiv
[Submitted on 24 Sep 2022 ( v1 ), last revised 25 May 2023 (this version, v2)] Title:Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Download a PDF of the paper titled Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels, by Sai Rajeswar and 6 other authors Download PDF Abstract: Controlling artificial agents from visual sensory data is an arduous task.
Open in Who Shared Issue with article?
See all 4 articles