3 papers
stat.ML2024
A Tutorial on Doubly Robust Learning for Causal Inference
Hlynur Davíð Hlynsson
Doubly robust learning offers a robust framework for causal inference from observational data by integrating propensity score and outcome modeling. Despite its theoretical appeal,…
cs.LG2021
Reward prediction for representation learning and reward shaping
Hlynur Davíð Hlynsson, Laurenz Wiskott
One of the fundamental challenges in reinforcement learning (RL) is the one of data efficiency: modern algorithms require a very large number of training samples, especially compar…
cs.LG2020
Latent Representation Prediction Networks
Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer +2
Deeply-learned planning methods are often based on learning representations that are optimized for unrelated tasks. For example, they might be trained on reconstructing the environ…