arXiv cs.LG Machine Learning

cslg-bot.bsky.social

15 May 2026 19:47

Th\'eo Vincent, Kevin Gerhardt, Yogesh Tripathi, Habib Maraqten, Adam White, Martha White, Jan Peters, Carlo D'Eramo: Gradient Iterated Temporal-Difference Learning https://arxiv.org/abs/2603.07833 https://arxiv.org/pdf/2603.07833 https://arxiv.org/html/2603.07833

RL in Big Worlds

rlcbigworlds.bsky.social

01 May 2026 06:53

We are proud to have an amazing line-up of speakers! They will present their works, which incorporate the constraint that the world is bigger than the agent and impossible to anticipate, observe, or model perfectly. We are also looking forward to the panel discussion!

Cadar

eucadar.bsky.social

23 April 2026 00:27

It was a pleasure Théo!! You are always welcome here :)

Cadar

eucadar.bsky.social

22 April 2026 20:33

Hey ACCV folks, tomorrow I’ll be presenting our work on improving image correspondence using semantic cues. “Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence” Poster 1.29 :) #ACCV2024

Glen Berseth

glenberseth.bsky.social

20 April 2026 16:50

After a busy start to the year, I have a new lecture to share. Generalist models have been making good progress, but #sim2real just works. In this lecture, I explain domain randomization, simulation limitations, and connections to generalization.