
PhD Student @safe_trusted_ai | Interested in #imitation_learning and #agents | Automating my way to more free time, one time-consuming project at a time.
London
Joined May 2014
- Tweets383
- Following147
- Followers54
- Likes387
O mundo não dá voltas, ele capota!😂
reporterbrasil.org.br/2025/0…
I don't know why, but having a masterclass from @JamieBGall on the beach in Brazil feels better than in London 😂😂😂
Nathan Gavenski retweeted
Made a watcher so I don't have to run my script manually when coding
github.com/NathanGavenski/py…
Discussions: discu.eu/q/https://github.co…
#programming #python
by @NGavenski
Nathan Gavenski retweeted
Set your reminders for the 2024 #XmasLectures, supported by @CGI_global!
🗓️ 29, 30 and 31 December
📺 BBC Four and iPlayer
⏰ 9pm
In the series, @DoctorChrisVT will explore the surprising science of food – from production to digestion.
Find out more: rigb.org/christmas-lectures/…
I'm always curious about what data goes into @GitHubCopilot.
Today, when writing LaTeX locally, I decided to try it. My paper has nothing to do with it, so I guess papers also go into it. Nice try Copilot, nice try.
If you are interested in something that allows you to run scripts automagically after modifying files, here is a package you might enjoy!
New release: github.com/NathanGavenski/py…
I couldn't agree more. A supportive supervisor has greatly elevated my work and myself as a researcher in the past few years. It is night and day!
Had an amazing time at PhD Connect 2024 in Leeds, and many thanks to @turinginst for organising the event.
It is always an excellent opportunity to get to know many other PhD Students and discuss different research topics!
Yesterday I had the pleasure to present my work at @ecai2024.
Thanks to all the authors for the great work, @safe_trusted_ai for supporting me and allowing me to pursue my research and @KingsNMES for the resources and space that makes this work possible.
1/2 If you are interested in imitation learning and you are @ecai2024, come join me in my talk about our work "Explorative Imitation Learning: A Path Signature Approach for Continuous Environments"
I will talk as part of the machine learning 2 session tomorrow (21/10)
1/2 We use exploration and path signatures to create expert-like agents few expert samples and no prior knowledge/human intervention.
You can read more about it in: ebooks.iospress.nl/doi/10.32…
And check our public code in: github.com/NathanGavenski/CI…
Thanks to all the authors that made this work possible @odinaldo @drmeneguzzi @michaelluck and Juarez Monteiro
Nathan Gavenski retweeted
1/5 Suppose you need 40% of a model's trained parameters to keep 95% of the model’s accuracy
What proportion of parameters do you need if you make the model 5x wider? 🤔
Come to tomorrow’s @ecai2024 presentations to find out!
It was a great experience to go to AAMAS and get to know so many researchers and such a beautiful place! High expectations for @ecai2024, and thrilled to present our current work there.
STAI CDT Student @NGavenski presented the demonstration track paper, ‘Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking’ at @AAMASconf
Read about the toolkit and Nathan's conference experience 🔗#AAMAS2024
bit.ly/4fO6j4I















