ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.00672
  4. Cited By
What Matters for Adversarial Imitation Learning?

What Matters for Adversarial Imitation Learning?

1 June 2021
Manu Orsini
Anton Raichuk
Léonard Hussenot
Damien Vincent
Robert Dadashi
Sertan Girgin
M. Geist
Olivier Bachem
Olivier Pietquin
Marcin Andrychowicz
ArXivPDFHTML

Papers citing "What Matters for Adversarial Imitation Learning?"

25 / 25 papers shown
Title
Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots
Huiqiao Fu
Haoyu Dong
Wentao Xu
Zhehao Zhou
Guizhou Deng
Kaiqiang Tang
D. Dong
Chunlin Chen
24
0
0
15 May 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Hao Sun
M. Schaar
94
14
0
28 Jan 2025
Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor
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
67
4
0
28 Jan 2025
Diffusion-Reward Adversarial Imitation Learning
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai
Hsiang-Chun Wang
Ping-Chun Hsieh
Yu-Chiang Frank Wang
Min-Hung Chen
Shao-Hua Sun
41
8
0
25 May 2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human
  Racing Gameplay
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
Policy Contrastive Imitation Learning
Jialei Huang
Zhao-Heng Yin
Yingdong Hu
Yang Gao
34
3
0
06 Jul 2023
Curricular Subgoals for Inverse Reinforcement Learning
Curricular Subgoals for Inverse Reinforcement Learning
Shunyu Liu
Yunpeng Qing
Shuqi Xu
Hongyan Wu
Jiangtao Zhang
Jingyuan Cong
Tianhao Chen
Yunfu Liu
Mingli Song
31
1
0
14 Jun 2023
Coherent Soft Imitation Learning
Coherent Soft Imitation Learning
Joe Watson
Sandy H. Huang
Nicholas Heess
36
11
0
25 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning
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
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot
Amy Zhang
Dhruv Batra
Z. Kira
Franziska Meier
OOD
OffRL
33
8
0
28 Mar 2023
Optimal Transport for Offline Imitation Learning
Optimal Transport for Offline Imitation Learning
Yicheng Luo
Zhengyao Jiang
Samuel N. Cohen
Edward Grefenstette
M. Deisenroth
OffRL
43
26
0
24 Mar 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Yunke Wang
Bo Du
Chang Xu
38
8
0
13 Feb 2023
Imitating Human Behaviour with Diffusion Models
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
Misspecification in Inverse Reinforcement Learning
Misspecification in Inverse Reinforcement Learning
Joar Skalse
Alessandro Abate
33
22
0
06 Dec 2022
imitation: Clean Imitation Learning Implementations
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
16
30
0
22 Nov 2022
Planning for Sample Efficient Imitation Learning
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
OffRL
33
21
0
18 Oct 2022
Co-Imitation: Learning Design and Behaviour by Imitation
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
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Shunyu Liu
Kaixuan Chen
Na Yu
Mingli Song
Zunlei Feng
Mingli Song
52
1
0
05 Jul 2022
Auto-Encoding Adversarial Imitation Learning
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
26
1
0
22 Jun 2022
A Ranking Game for Imitation Learning
A Ranking Game for Imitation Learning
Harshit S. Sikchi
Akanksha Saran
Wonjoon Goo
S. Niekum
OffRL
27
22
0
07 Feb 2022
Learning from Guided Play: A Scheduled Hierarchical Approach for
  Improving Exploration in Adversarial Imitation Learning
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning
Trevor Ablett
Bryan Chan
Jonathan Kelly
37
4
0
16 Dec 2021
Continuous Control with Action Quantization from Demonstrations
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
A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran
D. Lillrank
29
9
0
04 Aug 2021
Acme: A Research Framework for Distributed Reinforcement Learning
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
Scaling Laws for Neural Language Models
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
264
4,532
0
23 Jan 2020
1