9 citations · 24 across the 13 of their papers we have counts for
4 papers · 1 filter
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen, Menglin Zou, Jiaqi Zhang +6
Inverse Reinforcement Learning (IRL) learns a reward function to explain expert demonstrations. Modern IRL methods often use the adversarial (minimax) formulation that alternates b…
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gaël Gendron, Michael Witbrock, Gillian Dobbie
Deep neural networks can obtain impressive performance on various tasks under the assumption that their training domain is identical to their target domain. Performance can drop dr…
Disentanglement of Latent Representations via Causal Interventions
Gaël Gendron, Michael Witbrock, Gillian Dobbie
The process of generating data such as images is controlled by independent and unknown factors of variation. The retrieval of these variables has been studied extensively in the di…
A Survey of Methods, Challenges and Perspectives in Causality
Gaël Gendron, Michael Witbrock, Gillian Dobbie
Deep Learning models have shown success in a large variety of tasks by extracting correlation patterns from high-dimensional data but still struggle when generalizing out of their…