MilaQuebec: In the latest blog post, Mila's @Vin...| Robocrunch AI

In the latest blog post, Mila's @Vincent_Mai_, @hbutsuak and professor Liam Paull @duckietown_coo present their paper, "Sample Efficient Deep Reinforcement Learning Via Uncertainty Estimation" which was presented at #ICLR2022 in the spotlight track.https://t.co/WfShthQMro
— MilaQuebec (@Mila_Quebec) May 9, 2022

My paper with @MelMitchell1 "Abstraction for Deep Reinforcement Learning" will be presented at the @IJCAIconf survey track. Here's the revised version: https://t.co/matMmtYQOD

Shared by Murray Shanahan at 5/2/2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning at #ICLR2022 Paper: https://t.co/qAGSBjO1bH Poster (Spotlight): https://t.co/S1WsElKXW3 Wed Apr 27 2:30 AM PST w\@ChenjiaBai, L. Wang, @zhuoran_yang, Z. Deng, @penn_liu, @zhaoran_wang more in 🧵👇

Shared by Animesh Garg at 4/26/2022

Value Gradient weighted Model-Based Reinforcement Learning at #ICLR2022 Blog: https://t.co/1vIlgScOOU Paper: https://t.co/ggNcDJmtPZ 📢 Poster: Wed Apr 27, 10:30 am PST https://t.co/n2wrk8XrCj @c_voelcker V. Liao @SoloGen @UofTCompSci @VectorInst for more 👇

Shared by Animesh Garg at 4/23/2022

For this week's @MilaNLProc reading group, @federicobianchy presented "Reasoning with #Transformer-based Models: Deep Learning, but Shallow Reasoning" by @Chadi_Helwe et al. Paper: https://t.co/gm5kbLp6ht #NLProc #ReadingGroup

Shared by MilaNLP at 4/14/2022

[#AdvML2022] Call for papers for the 4th Workshop on Adversarial Learning Methods for Machine Learning and Data Mining co-located at @kdd_news #KDD2022 Webpage: https://t.co/mjhVab8CgT Submission deadline: May 26th (aoe) @trustworthy_ml @uiuc_aisecure @sijialiu17 #AIRobustness

Shared by Pin-Yu Chen at 4/14/2022

New preprint by @mpshanahan and me: "Abstraction for Deep Reinforcement Learning". https://t.co/JvgXROxdr6

Shared by Melanie Mitchell at 2/15/2022

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