Disentangled Representations for Causal Cognition

30 June 2024

Papers citing "Disentangled Representations for Causal Cognition"

8 / 8 papers shown

Title
Reinforcement Learning in Categorical Cybernetics Jules Hedges Riu Rodríguez Sakamoto 25 3 0 03 Apr 2024
A Sparsity Principle for Partially Observable Causal Representation Learning Danru Xu Dingling Yao Sébastien Lachapelle Perouz Taslakian Julius von Kügelgen Francesco Locatello Sara Magliacane CML 25 3 0 13 Mar 2024
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 55 32 0 02 Nov 2023
Disentanglement with Biological Constraints: A Theory of Functional Cell Types James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 34 39 0 30 Sep 2022
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 25 15 0 12 Jul 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 185 125 0 04 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,944 0 04 May 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 171 311 0 07 Feb 2020