Back in Ghana 🇬🇭 to teach Machine Learning at the Ashesi University University!

Our workshop on 'Aligning Reinforcement Learning Experimentalists and Theorists' will take place at #ICML2024 !
We have one call for papers and one for ideas/problems/positions... Looking forward to reading your thoughts on bridging the gap between experimental and theoretical RL!

We have an amazing speaker lineup.
Amy Zhang, Akshay Krishnamurthy, Aviral Kumar, Giorgia Ramponi, Jeongyeol Kwon, Kwang-Sung Jun, Lillian J. Ratliff, Matthew Walter, Mengdi Wang, Stephen McAleer, Venkatesh Saligrama, Wen Sun, Yian Ma

Our #ICLR2024 paper (w/ Riccardo De Santi Alexander Marx Giorgia Ramponi) shows how to do posterior sampling in RL starting from a prior specified through a partial causal graph ➡️ more edges means better statistical efficiency. You can see the paper below or in Wien!
arxiv.org/abs/2310.07518

🎉🎉👏👏

We are organizing a Multi Agent RL summer school in Lausanne :)

Looking forward for the talks by Panayotis Mertikopoulos, Julia Olkhovskaya, Kaiqing Zhang , Chi Jin , Ioannis Panageas , Caglar Gulcehre Giorgia Ramponi and Maryam Kamgarpour !!

Apply here: sites.google.com/view/marl-scho…

A very cool result from my former colleague Amartya Sanyal

At the aihousedavos.com this week. Looking forward to many insightful discussions around opportunities and enablers for sustainable development, as well as safety, risks and governance of AI! ⁦ETH AI Center⁩ ⁦ETH Zurich⁩ United Nations Envoy on Technology⁩

There's still time to apply to our School in beautiful Lake Como (only 45 slots available!)

Exciting opportunity! Join my new research group at the University of Zurich as a PhD candidate in Reinforcement Learning.
Contribute to cutting-edge AI research and shape the future of the field 🔥
To apply follow the instructions on my website: gioramponi.github.io
#UZH #RL

Today Alexander Marx will present our work (w/ Riccardo De Santi Giorgia Ramponi) on 'Exploiting Causal Representations in RL' at the CRL workshop #NeurIPS2023 . You may want to see how partial knowledge of the causal graph on problem variables improves the efficiency of posterior sampling

Interested in learning about Imitation Learning in Mean-field games? Unfortunately, I am unable to attend #NeurIPS2023 , but my co-author Pavel Kolev will be there to present our poster at 18:00 tomorrow!

Paper link: arxiv.org/pdf/2306.14799…

Interested in learning how Reinforcement Learning can be applied in the real world? Come and join us at the #LaunchAIXSummit2023 tomorrow (14:30)!
At our panel, we will explore the transformative impact of RL on real-world problems.ETH AI Center
launch-aixsummit.com/workshops
#RL #AI

Doctoral and Postdoc Fellowships at the ETH AI Center! Applications accepted until November 22 2023. ai.ethz.ch/education/phd-… ETH Zurich

Excited to teach at the Mediterranean Machine Learning Summer School M2L school in Thessaloniki!
See you tomorrow to talk a bit about RL🙃😉

Join us today at our workshop on 'New Frontiers in Learning, Control, and Dynamical Systems' at #ICML2023 . A day packed with exciting talks that aim to unravel mutual relationships across these disciplines and shed light on recent parallel developments! frontiers4lcd.github.io/schedule