What Matters for Adversarial Imitation Learning?

What Matters for Adversarial Imitation Learning?

1 June 2021

Léonard Hussenot

Sertan Girgin

Olivier Bachem

Olivier Pietquin

Marcin Andrychowicz

Papers citing "What Matters for Adversarial Imitation Learning?"

19 / 19 papers shown

Title
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning Hao Sun M. Schaar 92 14 0 28 Jan 2025
Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor Trevor Ablett Oliver Limoyo Adam Sigal Affan Jilani Jonathan Kelly Kaleem Siddiqi F. Hogan Gregory Dudek 52 4 0 28 Jan 2025
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai Hsiang-Chun Wang Ping-Chun Hsieh Yu-Chiang Frank Wang Min-Hung Chen Shao-Hua Sun 32 8 0 25 May 2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay Catherine Weaver Chen Tang Ce Hao Kenta Kawamoto Masayoshi Tomizuka Wei Zhan OffRL 32 0 0 22 Feb 2024
Policy Contrastive Imitation Learning Jialei Huang Zhao-Heng Yin Yingdong Hu Yang Gao 17 3 0 06 Jul 2023
Curricular Subgoals for Inverse Reinforcement Learning Shunyu Liu Yunpeng Qing Shuqi Xu Hongyan Wu Jiangtao Zhang Jingyuan Cong Tianhao Chen Yunfu Liu Mingli Song 16 0 0 14 Jun 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 30 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 81 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 24 8 0 28 Mar 2023
Optimal Transport for Offline Imitation Learning Yicheng Luo Zhengyao Jiang Samuel N. Cohen Edward Grefenstette M. Deisenroth OffRL 24 26 0 24 Mar 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 27 203 0 25 Jan 2023
imitation: Clean Imitation Learning Implementations Adam Gleave Mohammad Taufeeque Juan Rocamonde Erik Jenner Steven H. Wang Sam Toyer M. Ernestus Nora Belrose Scott Emmons Stuart J. Russell MLAU 8 30 0 22 Nov 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 18 21 0 18 Oct 2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework Shunyu Liu Kaixuan Chen Na Yu Jie Song Zunlei Feng Mingli Song 39 1 0 05 Jul 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 17 1 0 22 Jun 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 17 22 0 07 Feb 2022
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 26 23 0 19 Oct 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 16 9 0 04 Aug 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,453 0 23 Jan 2020