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. 2206.15469
  4. Cited By
Watch and Match: Supercharging Imitation with Regularized Optimal
  Transport

Watch and Match: Supercharging Imitation with Regularized Optimal Transport

30 June 2022
Siddhant Haldar
Vaibhav Mathur
Denis Yarats
Lerrel Pinto
ArXivPDFHTML

Papers citing "Watch and Match: Supercharging Imitation with Regularized Optimal Transport"

12 / 12 papers shown
Title
Zero-Shot Offline Imitation Learning via Optimal Transport
Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf
Marco Bagatella
Nico Gürtler
Jonas Frey
Georg Martius
OffRL
42
0
0
11 Oct 2024
BAKU: An Efficient Transformer for Multi-Task Policy Learning
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar
Zhuoran Peng
Lerrel Pinto
OffRL
32
25
0
11 Jun 2024
Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure Guidance
Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure Guidance
Kaifeng Zhang
Zhao-Heng Yin
Weirui Ye
Yang Gao
43
3
0
22 May 2024
Adaptive Mobile Manipulation for Articulated Objects In the Open World
Adaptive Mobile Manipulation for Articulated Objects In the Open World
Haoyu Xiong
Russell Mendonca
Kenneth Shaw
Deepak Pathak
22
37
0
25 Jan 2024
On Bringing Robots Home
On Bringing Robots Home
Nur Muhammad (Mahi) Shafiullah
Anant Rai
Haritheja Etukuru
Yiqian Liu
Ishan Misra
Soumith Chintala
Lerrel Pinto
16
74
0
27 Nov 2023
Signal Temporal Logic-Guided Apprenticeship Learning
Signal Temporal Logic-Guided Apprenticeship Learning
Aniruddh Gopinath Puranic
Jyotirmoy V. Deshmukh
S. Nikolaidis
29
1
0
09 Nov 2023
See to Touch: Learning Tactile Dexterity through Visual Incentives
See to Touch: Learning Tactile Dexterity through Visual Incentives
Irmak Güzey
Yinlong Dai
Ben Evans
Soumith Chintala
Lerrel Pinto
16
30
0
21 Sep 2023
Planning for Sample Efficient Imitation Learning
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
OffRL
13
21
0
18 Oct 2022
Auto-Encoding Adversarial Imitation Learning
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
8
1
0
22 Jun 2022
Cross-Domain Imitation Learning via Optimal Transport
Cross-Domain Imitation Learning via Optimal Transport
Arnaud Fickinger
Samuel N. Cohen
Stuart J. Russell
Brandon Amos
OT
37
47
0
07 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,662
0
04 May 2020
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
127
601
0
05 Mar 2017
1