4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning
Lionel Blondé, Alexandros Kalousis, Stéphane Marchand-Maillet
The performance of state-of-the-art offline RL methods varies widely over the spectrum of dataset qualities, ranging from far-from-optimal random data to close-to-optimal expert de…
cs.CV2018★ 4 cited
Variational Saccading: Efficient Inference for Large Resolution Images
Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda +2
Image classification with deep neural networks is typically restricted to images of small dimensionality such as 224 x 244 in Resnet models [24]. This limitation excludes the 4000…