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
I don't know why, but having a masterclass from @JamieBGall on the beach in Brazil feels better than in London 😂😂😂
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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/…
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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.
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Couldn't find the original paper from this, well... back to writing.
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Having to work extra hard to surpass your own method should not be part of writing a new paper 😅
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Me: I can finally submit my literature review to a journal. Journal: ... Me:
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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!
Having a supportive supervisor makes SO MUCH difference
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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!
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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.
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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)
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Thanks to all the authors that made this work possible @odinaldo @drmeneguzzi @michaelluck and Juarez Monteiro
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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!
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Here is something I didn't know I needed 😂 next paper for sure will have loss rider graphs
Sure matplotlib is cool, but what if I want to load my loss curves into the 2006 hit Flash game LineRider?
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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.
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😂
What if all those PhDs stop just defending and actually start attacking?!?
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