Causal Imitation Learning with Unobserved Confounders

Causal Imitation Learning with Unobserved Confounders

12 August 2022

Elias Bareinboim

Papers citing "Causal Imitation Learning with Unobserved Confounders"

14 / 14 papers shown

Title
Automatic Reward Shaping from Confounded Offline Data Mingxuan Li Junzhe Zhang Elias Bareinboim OffRL OnRL 28 1 0 16 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding Yuhan Li Eugene Han Yifan Hu Wenzhuo Zhou Zhengling Qi Yifan Cui Ruoqing Zhu OffRL 141 0 0 01 May 2025
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 52 0 0 15 Jul 2024
Passive learning of active causal strategies in agents and language models Andrew Kyle Lampinen Stephanie C. Y. Chan Ishita Dasgupta A. Nam Jane X. Wang 29 15 0 25 May 2023
NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks Gregory P. Davis Garrett E. Katz R. Gentili J. Reggia NAI 33 1 0 11 Nov 2022
Sequential Causal Imitation Learning with Unobserved Confounders D. Kumor Junzhe Zhang Elias Bareinboim CML 11 39 0 12 Aug 2022
Sequence Model Imitation Learning with Unobserved Contexts Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu OffRL 24 25 0 03 Aug 2022
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 18 22 0 13 Jul 2022
A Complete Criterion for Value of Information in Soluble Influence Diagrams Chris van Merwijk Ryan Carey Tom Everitt 24 5 0 23 Feb 2022
Causal Imitation Learning under Temporally Correlated Noise Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu CML 19 29 0 02 Feb 2022
Causal Imitative Model for Autonomous Driving Mohammad Reza Samsami Mohammadhossein Bahari Saber Salehkaleybar Alexandre Alahi CML 13 12 0 07 Dec 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 Nov 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 23 14 0 18 Feb 2021