Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Example Project
Short description of portfolio item number 1
Example Project 2
Short description of portfolio item number 2
publications
Aperiodic Gym Environments
Published in Work in progres, 2025
We introduce the first Python package to expose aperiodic tilings as environments for reinforcement learning, implemented within the popular gymnasium framework. The package provides three environments: Penrose P3 Penrose-P3-v0, Penrose P2 Penrose-P2-v0, and the recently discovered aperiodic monotile Einstein-v0. This enables systematic study of how agents learn and exploit structure in environments where regularity is not periodic but emerges across scales. Reinforcement learning offers a robust framework for modeling agent–environment interactions, and effective navigation hinges on learning underlying structural properties. Whereas periodic environments exhibit constant, repeating structure, aperiodic tilings yield scale-dependent regularities. In our experiments, increasing the radius of exploration in aperiodic settings raises task complexity by demanding more structural information, making agent convergence explicitly scale-dependent—mirroring real-world scenarios in which perception and leverage of structure vary with exploration scale. The link to the repository will follow soon.
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.