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. 1912.05032
  4. Cited By
Imitation Learning via Off-Policy Distribution Matching

Imitation Learning via Off-Policy Distribution Matching

10 December 2019
Ilya Kostrikov
Ofir Nachum
Jonathan Tompson
    OOD
    OffRL
ArXivPDFHTML

Papers citing "Imitation Learning via Off-Policy Distribution Matching"

18 / 18 papers shown
Title
SR-Reward: Taking The Path More Traveled
SR-Reward: Taking The Path More Traveled
Seyed Mahdi Basiri Azad
Zahra Padar
Gabriel Kalweit
Joschka Boedecker
OffRL
119
0
0
04 Jan 2025
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
Yangchun Zhang
Wang Zhou
Yirui Zhou
73
0
0
31 Dec 2024
Reward-free World Models for Online Imitation Learning
Reward-free World Models for Online Imitation Learning
Shangzhe Li
Zhiao Huang
H. Su
OffRL
116
1
0
17 Oct 2024
Robust Offline Imitation Learning from Diverse Auxiliary Data
Robust Offline Imitation Learning from Diverse Auxiliary Data
Udita Ghosh
Dripta S. Raychaudhuri
Jiachen Li
Konstantinos Karydis
Amit K. Roy-Chowdhury
OffRL
64
1
0
04 Oct 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Yen-Ru Lai
Fu-Chieh Chang
Pei-Yuan Wu
OffRL
103
1
0
22 Aug 2024
RILe: Reinforced Imitation Learning
RILe: Reinforced Imitation Learning
Mert Albaba
Sammy Christen
Christoph Gebhardt
Thomas Langarek
Otmar Hilliges
Otmar Hilliges
79
1
0
12 Jun 2024
DITTO: Offline Imitation Learning with World Models
DITTO: Offline Imitation Learning with World Models
Branton DeMoss
Paul Duckworth
Nick Hawes
Ingmar Posner
Ingmar Posner
OffRL
54
18
0
06 Feb 2023
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Ofir Nachum
Michael Ahn
Hugo Ponte
S. Gu
Vikash Kumar
53
90
0
13 Aug 2019
Imitation Learning as $f$-Divergence Minimization
Imitation Learning as fff-Divergence Minimization
Liyiming Ke
Sanjiban Choudhury
Matt Barnes
Wen Sun
Gilwoo Lee
S. Srinivasa
VLM
54
161
0
30 May 2019
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
116
2,391
0
13 Dec 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
235
5,363
0
28 Sep 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
97
1,865
0
01 Aug 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
107
746
0
30 Oct 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using
  Generative Adversarial Nets
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman
Yevgen Chebotar
S. Schaal
Gaurav Sukhatme
Joseph J. Lim
GAN
53
147
0
30 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
157
9,509
0
31 Mar 2017
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
119
3,089
0
10 Jun 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
66
4,153
0
25 Apr 2016
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
182
3,196
0
02 Nov 2010
1