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Causal Dynamics Learning for Task-Independent State Abstraction

Causal Dynamics Learning for Task-Independent State Abstraction

27 June 2022
Zizhao Wang
Xuesu Xiao
Zifan Xu
Yuke Zhu
Peter Stone
    CML
ArXivPDFHTML

Papers citing "Causal Dynamics Learning for Task-Independent State Abstraction"

10 / 10 papers shown
Title
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges
Miguel Arana-Catania
Weisi Guo
CML
23
0
0
13 May 2025
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Caleb Chuck
Fan Feng
Carl Qi
Chang Shi
Siddhant Agarwal
Amy Zhang
S. Niekum
45
0
0
06 May 2025
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
Chenran Zhao
Dianxi Shi
Mengzhu Wang
Jianqiang Xia
Huanhuan Yang
Songchang Jin
Shaowu Yang
Chunping Qiu
22
0
0
04 May 2025
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
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
Beware of Instantaneous Dependence in Reinforcement Learning
Beware of Instantaneous Dependence in Reinforcement Learning
Zhengmao Zhu
Yu-Ren Liu
Hong Tian
Yang Yu
Kun Zhang
OffRL
31
1
0
09 Mar 2023
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
Luca Castri
Sariah Mghames
Marc Hanheide
Nicola Bellotto
CML
24
10
0
20 Feb 2023
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step
  Inverse Models
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
Alex Lamb
Riashat Islam
Yonathan Efroni
Aniket Didolkar
Dipendra Kumar Misra
Dylan J. Foster
Lekan Molu
Rajan Chari
A. Krishnamurthy
John Langford
33
24
0
17 Jul 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng
Biwei Huang
Kun Zhang
Sara Magliacane
CML
OffRL
32
32
0
30 Mar 2022
Augmenting Reinforcement Learning with Behavior Primitives for Diverse
  Manipulation Tasks
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany
Huihan Liu
Yuke Zhu
80
109
0
07 Oct 2021
1