Browsing: Yannic Kilcher
Dreamer is a new RL agent by DeepMind that learns a continuous control task through forward-imagination in latent space. Videos:…
From the makers of Go-Explore, POET is a mixture of ideas from novelty search, evolutionary methods, open-ended learning and curriculum…
Current NLP models are often “cheating” on supervised learning tasks by exploiting correlations that arise from the particularities of the…
Funny Twitter spat between researchers arguing who was the first to invent an idea that has probably been around since…
Normalization and activation layers have seen a long history of hand-crafted variants with various results. This paper proposes an evolutionary…
The enhanced POET makes some substantial and well-crafted improvements over the original POET algorithm and excels at open-ended learning like…
Contrastive Learning has been an established method in NLP and Image classification. The authors show that with relatively minor adjustments,…
DDL is an auxiliary task for an agent to learn distances between states in episodes. This can then be used…
Stunning evidence for the hypothesis that neural networks work so well because their random initialization almost certainly contains a nearly…
The imputer is a sequence-to-sequence model that strikes a balance between fully autoregressive models with long inference times and fully…