Primal Wasserstein Imitation Learning

8 June 2020

Olivier Pietquin

Papers citing "Primal Wasserstein Imitation Learning"

43 / 43 papers shown

Title
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations Cevahir Köprülü Po-han Li Tianyu Qiu Ruihan Zhao T. Westenbroek David Fridovich-Keil Sandeep P. Chinchali Ufuk Topcu OffRL 92 0 0 02 Dec 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing-Wu Guo Ivor W. Tsang 141 0 0 11 Nov 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu Yiding Chen Gokul Swamy Kianté Brantley Wen Sun DiffM 42 3 0 17 Oct 2024
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 135 0 0 11 Oct 2024
Strategic Pseudo-Goal Perturbation for Deadlock-Free Multi-Agent Navigation in Social Mini-Games Abhishek Jha Tanishq Gupta S. Rawat Girish Kumar 44 0 0 25 Jul 2024
Walking the Values in Bayesian Inverse Reinforcement Learning Ondrej Bajgar Alessandro Abate Konstantinos Gatsis Michael A. Osborne OffRL BDL 30 0 0 15 Jul 2024
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai Hsiang-Chun Wang Ping-Chun Hsieh Yu-Chiang Frank Wang Min-Hung Chen Shao-Hua Sun 37 8 0 25 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions Luca Viano Stratis Skoulakis V. Cevher 30 3 0 03 May 2024
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning Haorui Li Jiaqi Liang Linjing Li D. Zeng 11 0 0 02 Aug 2023
On Combining Expert Demonstrations in Imitation Learning via Optimal Transport Ilana Sebag Samuel N. Cohen M. Deisenroth MoMe OT 23 0 0 20 Jul 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients Mete Kemertas Allan D. Jepson Amir-massoud Farahmand OT 58 3 0 17 Jul 2023
Policy Contrastive Imitation Learning Jialei Huang Zhao-Heng Yin Yingdong Hu Yang Gao 32 3 0 06 Jul 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 32 11 0 25 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 84 2 0 02 May 2023
BC-IRL: Learning Generalizable Reward Functions from Demonstrations Andrew Szot Amy Zhang Dhruv Batra Z. Kira Franziska Meier OOD OffRL 31 8 0 28 Mar 2023
Optimal Transport for Offline Imitation Learning Yicheng Luo Zhengyao Jiang Samuel N. Cohen Edward Grefenstette M. Deisenroth OffRL 40 26 0 24 Mar 2023
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation Wenyan Yang A. Angleraud R. Pieters Joni Pajarinen Joni-Kristian Kämäräinen 32 6 0 05 Mar 2023
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations Siddhant Haldar Jyothish Pari A. Rai Lerrel Pinto 24 65 0 02 Mar 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 23 8 0 13 Feb 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 43 203 0 25 Jan 2023
Transfer RL via the Undo Maps Formalism Abhi Gupta Theodore H. Moskovitz David Alvarez-Melis Aldo Pacchiano OffRL 33 0 0 26 Nov 2022
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 17 4 0 09 Nov 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 31 21 0 18 Oct 2022
Extraneousness-Aware Imitation Learning Rachel Zheng Kaizhe Hu Zhecheng Yuan Boyuan Chen Huazhe Xu SSL 30 3 0 04 Oct 2022
Co-Imitation: Learning Design and Behaviour by Imitation C. Rajani Karol Arndt David Blanco Mulero K. Luck Ville Kyrki 26 4 0 02 Sep 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 48 62 0 30 Jun 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 19 1 0 22 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 32 22 0 10 Jun 2022
Imitation Learning via Differentiable Physics Siwei Chen Xiao Ma Zhongwen Xu PINN AI4CE 24 4 0 10 Jun 2022
IL-flOw: Imitation Learning from Observation using Normalizing Flows Wei-Di Chang J. A. G. Higuera Scott Fujimoto D. Meger Gregory Dudek 38 9 0 19 May 2022
Divide & Conquer Imitation Learning Alexandre Chenu Nicolas Perrin-Gilbert Olivier Sigaud 16 5 0 15 Apr 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 32 21 0 03 Feb 2022
Probability Density Estimation Based Imitation Learning Yang Liu Yongzhe Chang Shilei Jiang Xueqian Wang Bin Liang Bo Yuan 11 0 0 13 Dec 2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning Sabela Ramos Sertan Girgin Léonard Hussenot Damien Vincent Hanna Yakubovich ... Piotr Stańczyk Raphaël Marinier Jeremiah Harmsen Olivier Pietquin Nikola Momchev OffRL 35 23 0 04 Nov 2021
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar Steven Hansen Stephen Spencer Volodymyr Mnih 16 6 0 28 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 33 23 0 19 Oct 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 29 9 0 04 Aug 2021
IQ-Learn: Inverse soft-Q Learning for Imitation Divyansh Garg Shuvam Chakraborty Chris Cundy Jiaming Song Matthieu Geist Stefano Ermon 51 178 0 23 Jun 2021
Make Bipedal Robots Learn How to Imitate Vishal Kumar Sinnu Susan Thomas 18 0 0 15 May 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Steven Wu 14 73 0 04 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin M. Geist OffRL 31 40 0 02 Mar 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 21 9 0 14 Feb 2021
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 60 225 0 01 Jun 2020