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On Covariate Shift of Latent Confounders in Imitation and Reinforcement
  Learning

On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning

13 October 2021
Guy Tennenholtz
Assaf Hallak
Gal Dalal
Shie Mannor
Gal Chechik
Uri Shalit
    OODOffRL
ArXiv (abs)PDFHTML

Papers citing "On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning"

12 / 12 papers shown
Breaking Habits: On the Role of the Advantage Function in Learning Causal State Representations
Breaking Habits: On the Role of the Advantage Function in Learning Causal State Representations
Miguel Suau
CML
241
0
0
13 Jun 2025
TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion
TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion
Amr Mousa
Neil Karavis
Michele Caprio
Wei Pan
Richard Allmendinger
381
4
0
26 Mar 2025
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
A. Popov
Alperen Degirmenci
David Wehr
Shashank Hegde
Ryan Oldja
...
David Nistér
Urs Muller
Ruchi Bhargava
Stan Birchfield
Nikolai Smolyanskiy
723
25
0
25 Sep 2024
Benchmarks for Reinforcement Learning with Biased Offline Data and
  Imperfect Simulators
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators
Ori Linial
Guy Tennenholtz
Uri Shalit
OffRL
296
1
0
30 Jun 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement
  Learning
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
Anthony Liang
Guy Tennenholtz
Chih-Wei Hsu
Yinlam Chow
Erdem Biyik
Craig Boutilier
OffRL
284
3
0
25 Feb 2024
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious CorrelationNeural Information Processing Systems (NeurIPS), 2023
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
409
38
0
15 Jul 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden
  Confounding
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden ConfoundingInternational Conference on Learning Representations (ICLR), 2023
Alizée Pace
Hugo Yèche
Bernhard Schölkopf
Gunnar Rätsch
Guy Tennenholtz
OffRL
289
9
0
01 Jun 2023
Chain-of-Thought Predictive Control
Chain-of-Thought Predictive ControlInternational Conference on Machine Learning (ICML), 2023
Zhiwei Jia
Vineet Thumuluri
Fangchen Liu
Ling-Hao Chen
Zhiao Huang
H. Su
LM&Ro
617
24
0
03 Apr 2023
A Survey on Causal Reinforcement Learning
A Survey on Causal Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yan Zeng
Ruichu Cai
Gang Hua
Libo Huang
Zijian Li
CML
542
70
0
10 Feb 2023
Sequence Model Imitation Learning with Unobserved Contexts
Sequence Model Imitation Learning with Unobserved ContextsNeural Information Processing Systems (NeurIPS), 2022
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
OffRL
375
33
0
03 Aug 2022
Discriminator-Guided Model-Based Offline Imitation Learning
Discriminator-Guided Model-Based Offline Imitation LearningConference on Robot Learning (CoRL), 2022
Wenjia Zhang
Haoran Xu
Haoyi Niu
Peng Cheng
Ming Li
Heming Zhang
Guyue Zhou
Xianyuan Zhan
OffRL
426
23
0
01 Jul 2022
Planning and Learning with Adaptive Lookahead
Planning and Learning with Adaptive LookaheadAAAI Conference on Artificial Intelligence (AAAI), 2022
Aviv A. Rosenberg
Assaf Hallak
Shie Mannor
Gal Chechik
Gal Dalal
284
12
0
28 Jan 2022
1
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