Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning

12 July 2022

Papers citing "Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning"

8 / 8 papers shown

Title
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning Shiguang Sun Hanbo Zhang Zeyang Liu Xinrui Yang Lipeng Wan Bing Yan Xingyu Chen Xuguang Lan 40 0 0 05 Apr 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe Pablo Samuel Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 56 0 0 08 Mar 2025
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation Sumeet Batra Gaurav Sukhatme OffRL DRL 31 2 0 09 Oct 2024
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore Riccardo Muradore Diego DallÁlba DRL 37 1 0 30 Jun 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 37 1 0 11 Jul 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 22 17 0 23 May 2023
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 137 101 0 07 Jan 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020