The case for ambition in artificial intelligence research: Within your lifetime, AI researchers will understand the principles of intelligence—what it is and how it works—well enough to create beings of far greater intelligence than current humans.

Today in nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: dpmd.ai/dm-alpha-tensor & dpmd.ai/nature-alpha-t… 1/

📢 today at Deep RL Workshop #NeurIPS2022: Prioritizing Samples in Reinforcement Learning with Reducible Loss (arxiv.org/abs/2208.10483) Shiva Somjit Nath Pedro Magalhães and Locally Constrained Representations in Reinforcement Learning (arxiv.org/abs/2209.09441) Somjit Nath

Together with Ulrich Aïvodji and Marlos C. Machado, I am looking to recruit a postdoc for Fall'23 to work on: - Deep Reinforcement learning - Representation learning - Explainability - Privacy/Security See full description here: docs.google.com/document/d/1Jt… Mila - Institut québécois d'IA Amii École de technologie supérieure

Marlos C. Machado , Ulrich Aïvodji and I are looking for a postdoc focusing on reinforcement learning, see the details here: webdocs.cs.ualberta.ca/~machado/postd…

Model your agents via conformal predictions! Our work on “CAMMARL: Conformal Action Modeling in Multi-Agent RL” has been accepted at the CVPR 2023 Workshop on Multi-Agent Behaviour. Shoutout to my mentor Samira E. Kahou! Arxiv link coming soon! GitHub: github.com/Nikunj-Gupta/c…

Come check out our poster tomorrow at Poster Session 6 at #ICML2023 1.30pm HST.

Happy to share that ReLo has been accepted to #NeurIPS2023 🎉 Much thanks to the reviewers and my amazing collaborators Somjit Nath Pedro Magalhães Samira E. Kahou. Will be my first, first author paper I'm presenting, so looking forward to it!👀 See you at New Orleans!

Really happy to be on the list of outstanding reviewers for ICCV 2023! 🥳Thanks to Pranav agarwal for making me aware of this list! 😅

I am thrilled to endorse this opportunity. Working with Khimya has been an inspirational journey and she is a fantastic mentor and amazing to work with. Don’t miss this chance and help spread the word!

Thrilled to announce the first annual Reinforcement Learning Conference RL_Conference, which will be held at UMass Amherst August 9-12! RLC is the first strongly peer-reviewed RL venue with proceedings, and our call for papers is now available: rl-conference.cc.

@SachaMori and Somjit Nath will present their work on spectral temporal contrastive learning on Sat Dec 16, in the 2 poster sessions of the SSL theory and practice workshop in room 217-219 arxiv.org/abs/2312.00966