Learning World Models with Identifiable Factorization

11 June 2023

Papers citing "Learning World Models with Identifiable Factorization"

7 / 7 papers shown

Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Biwei Huang OffRL CML 27 0 0 13 May 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL Hongye Cao Fan Feng Meng Fang Shaokang Dong Tianpei Yang Jing Huo Yang Gao 56 1 0 14 Feb 2025
Focus On What Matters: Separated Models For Visual-Based RL Generalization Di Zhang Bowen Lv Hai Zhang Feifan Yang Junqiao Zhao Hang Yu Chang Huang Hongtu Zhou Chen Ye Changjun Jiang 22 3 0 29 Sep 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors Joseph Ortiz Antoine Dedieu Wolfgang Lehrach Swaroop Guntupalli Carter Wendelken Ahmad Humayun Guangyao Zhou Sivaramakrishnan Swaminathan Miguel Lázaro-Gredilla Kevin P. Murphy OffRL 44 1 0 26 Sep 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Biwei Huang Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 36 1 0 30 Jul 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Bo-wen Li Ding Zhao OffRL CML 44 0 0 15 Jul 2024
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey Dingzhe Li Yixiang Jin A. Yong Hongze Yu Jun Shi Xiaoshuai Hao Peng Hao Huaping Liu Fuchun Sun Bin Fang AI4CE LM&Ro 64 13 0 28 Apr 2024