Imitation Learning as $f$ -Divergence Minimization

30 May 2019

Papers citing "Imitation Learning as $f$-Divergence Minimization"

47 / 47 papers shown

Title
Bounding Neyman-Pearson Region with $f$ -Divergences Andrew Mullhaupt Cheng Peng 24 0 0 13 May 2025
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators Ziyu Zhang S. Bashkirov Dun Yang Michael Taylor Xue Bin Peng 40 0 0 08 May 2025
Imitation Learning of Correlated Policies in Stackelberg Games Kunag-Da Wang Ping-Chun Hsieh Wen-Chih Peng 50 0 0 11 Mar 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey Kun Zhang Peng Yun Jun Cen Junhao Cai DiDi Zhu ... Qifeng Chen Jia Pan Wei Zhang Bo Yang Hua Chen 61 1 0 05 Mar 2025
On the Effective Horizon of Inverse Reinforcement Learning Yiqing Xu Finale Doshi-Velez David Hsu 51 0 0 21 Feb 2025
On the Mode-Seeking Properties of Langevin Dynamics Xiwei Cheng Kexin Fu Farzan Farnia 69 0 0 08 Jan 2025
SR-Reward: Taking The Path More Traveled Seyed Mahdi Basiri Azad Zahra Padar Gabriel Kalweit Joschka Boedecker OffRL 67 0 0 04 Jan 2025
Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu Yiding Chen Gokul Swamy Kianté Brantley Wen Sun DiffM 46 3 0 17 Oct 2024
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels Abhay Deshpande Liyiming Ke Quinn Pfeifer Abhishek Gupta S. Srinivasa 47 1 0 29 May 2024
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment Yuwei Zeng Yao Mu Lin Shao 42 12 0 12 May 2024
DIDA: Denoised Imitation Learning based on Domain Adaptation Kaichen Huang Hai-Hang Sun Shenghua Wan Minghao Shao Shuai Feng Le Gan De-Chuan Zhan 32 1 0 04 Apr 2024
Offline Imitation Learning by Controlling the Effective Planning Horizon Hee-Jun Ahn Seong-Woong Shim Byung-Jun Lee 26 0 0 18 Jan 2024
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li Chicheng Zhang OffRL 37 0 0 28 Dec 2023
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 22 27 0 28 Oct 2023
Learning Reward for Physical Skills using Large Language Model Yuwei Zeng Yiqing Xu 36 6 0 21 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 27 12 0 19 Oct 2023
A Structured Prediction Approach for Robot Imitation Learning Anqing Duan Iason Batzianoulis Raffaello Camoriano Lorenzo Rosasco Daniele Pucci A. Billard 23 4 0 26 Sep 2023
On Imitation in Mean-field Games Giorgia Ramponi Pavel Kolev Olivier Pietquin Niao He Mathieu Laurière M. Geist AI4CE 37 0 0 26 Jun 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 60 31 0 26 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 38 8 0 13 Feb 2023
Learning to Generate All Feasible Actions Mirco Theile Daniele Bernardini Raphael Trumpp C. Piazza Marco Caccamo Alberto L. Sangiovanni-Vincentelli 29 2 0 26 Jan 2023
Imitating Human Behaviour with Diffusion Models Tim Pearce Tabish Rashid Anssi Kanervisto David Bignell Mingfei Sun ... Sergio Valcarcel Macua Shan Zheng Tan Ida Momennejad Katja Hofmann Sam Devlin DiffM 48 207 0 25 Jan 2023
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning Charles A. Hepburn Giovanni Montana OffRL 34 13 0 21 Nov 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 53 101 0 19 Jun 2022
Model-based Offline Imitation Learning with Non-expert Data Jeongwon Park Lin F. Yang OffRL 37 1 0 11 Jun 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 24 14 0 09 Jun 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 28 15 0 04 May 2022
Imitation Learning from Observations under Transition Model Disparity Tanmay Gangwani Yuanfei Zhou Jian-wei Peng 24 12 0 25 Apr 2022
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions Alejandro Escontrela Xue Bin Peng Wenhao Yu Tingnan Zhang Atil Iscen Ken Goldberg Pieter Abbeel 20 112 0 28 Mar 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation Geon-hyeong Kim Jongmin Lee Youngsoo Jang Hongseok Yang Kyungmin Kim OffRL 33 15 0 28 Feb 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 27 22 0 07 Feb 2022
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching Yecheng Jason Ma Andrew Shen Dinesh Jayaraman Osbert Bastani OffRL 23 32 0 04 Feb 2022
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning Guy Tennenholtz Assaf Hallak Gal Dalal Shie Mannor Gal Chechik Uri Shalit OOD OffRL 55 15 0 13 Oct 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 49 0 16 Jul 2021
Entropy Regularized Motion Planning via Stein Variational Inference Alexander Lambert Byron Boots 43 12 0 11 Jul 2021
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching Min Sun Anuj Mahajan Katja Hofmann Shimon Whiteson OffRL 23 12 0 06 Jun 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Steven Wu 22 73 0 04 Mar 2021
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation Liyiming Ke Jingqiang Wang T. Bhattacharjee Byron Boots S. Srinivasa 11 42 0 13 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 39 11 0 19 Oct 2020
$f$ -GAIL: Learning $f$ -Divergence for Generative Adversarial Imitation Learning Xin Zhang Jun Luo Ziming Zhang Zhi-Li Zhang 21 32 0 02 Oct 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 26 124 0 08 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
Energy-Based Imitation Learning Minghuan Liu Tairan He Minkai Xu Weinan Zhang 16 48 0 20 Apr 2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks Bohan Wu Feng Xu Zhanpeng He Abhi Gupta Peter K. Allen OffRL 17 13 0 10 Mar 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 16 118 0 07 Jan 2020

Imitation Learning as fff-Divergence Minimization

Papers citing "Imitation Learning as $f$-Divergence Minimization"

Imitation Learning as $f$ -Divergence Minimization