Causal Imitation Learning under Temporally Correlated Noise

Causal Imitation Learning under Temporally Correlated Noise

2 February 2022

Sanjiban Choudhury

J. Andrew Bagnell

Zhiwei Steven Wu

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Papers citing "Causal Imitation Learning under Temporally Correlated Noise"

19 / 19 papers shown

Title
A Unifying Framework for Causal Imitation Learning with Hidden Confounders Daqian Shao Thomas Kleine Buening Marta Z. Kwiatkowska CML 98 1 0 11 Feb 2025
Sequential Causal Imitation Learning with Unobserved Confounders D. Kumor Junzhe Zhang Elias Bareinboim CML 41 40 0 12 Aug 2022
Causal Imitation Learning with Unobserved Confounders Junzhe Zhang D. Kumor Elias Bareinboim CML 72 76 0 12 Aug 2022
On Instrumental Variable Regression for Deep Offline Policy Evaluation Yutian Chen Liyuan Xu Çağlar Gülçehre T. Paine Arthur Gretton Nando de Freitas Arnaud Doucet OffRL 96 18 0 21 May 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Steven Wu 64 79 0 04 Mar 2021
Feedback in Imitation Learning: The Three Regimes of Covariate Shift Jonathan Spencer Sanjiban Choudhury Arun Venkatraman Brian Ziebart J. Andrew Bagnell CML 141 80 0 04 Feb 2021
Minimax Estimation of Conditional Moment Models Nishanth Dikkala Greg Lewis Lester W. Mackey Vasilis Syrgkanis 205 103 0 12 Jun 2020
Provably Efficient Imitation Learning from Observation Alone Wen Sun Anirudh Vemula Byron Boots J. Andrew Bagnell 163 107 0 27 May 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 59 546 0 18 Apr 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 86 740 0 07 Dec 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 314 8,396 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 526 19,237 0 20 Jul 2017
Imitating Driver Behavior with Generative Adversarial Networks Alex Kuefler Jeremy Morton T. Wheeler Mykel Kochenderfer GAN 79 407 0 24 Jan 2017
Algorithmic Stability for Adaptive Data Analysis Raef Bassily Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 96 268 0 08 Nov 2015
Fast Convergence of Regularized Learning in Games Vasilis Syrgkanis Alekh Agarwal Haipeng Luo Robert Schapire 76 258 0 02 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Reinforcement and Imitation Learning via Interactive No-Regret Learning Stéphane Ross J. Andrew Bagnell OffRL 150 264 0 23 Jun 2014
Counterfactual Probabilities: Computational Methods, Bounds and Applications Alexander Balke Judea Pearl 72 255 0 27 Feb 2013
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 231 3,232 0 02 Nov 2010