default search action
Mohi Khansari
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [c14]Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang:
Practical Visual Deep Imitation Learning via Task-Level Domain Consistency. ICRA 2023: 1837-1844 - [c13]Cem Gokmen, Daniel Ho, Mohi Khansari:
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation. ICRA 2023: 5821-5828 - [c12]Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu
, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari:
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. IROS 2023: 487-494 - [i18]Cem Gokmen, Daniel Ho, Mohi Khansari:
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation. CoRR abs/2302.04334 (2023) - [i17]Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari:
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. CoRR abs/2303.13390 (2023) - 2022
- [c11]Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari:
Bayesian Imitation Learning for End-to-End Mobile Manipulation. ICML 2022: 5531-5546 - [i16]Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang:
Practical Imitation Learning in the Real World via Task Consistency Loss. CoRR abs/2202.01862 (2022) - [i15]Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn:
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. CoRR abs/2202.02005 (2022) - [i14]Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari:
Bayesian Imitation Learning for End-to-End Mobile Manipulation. CoRR abs/2202.07600 (2022) - [i13]Catie Cuan, Allison M. Okamura, Mohi Khansari:
Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models. CoRR abs/2211.03020 (2022) - 2021
- [c10]Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn:
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. CoRL 2021: 991-1002 - [c9]Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine:
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale. CoRL 2021: 1078-1088 - [c8]Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai:
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. ICRA 2021: 10920-10926 - [i12]Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine:
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale. CoRR abs/2111.05424 (2021) - 2020
- [c7]Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari:
Modeling Long-horizon Tasks as Sequential Interaction Landscapes. CoRL 2020: 471-484 - [c6]Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari:
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real. CVPR 2020: 11154-11163 - [c5]Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn:
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. ICLR 2020 - [c4]Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn:
Scalable Multi-Task Imitation Learning with Autonomous Improvement. ICRA 2020: 2167-2173 - [c3]Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan:
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. ICRA 2020: 3597-3603 - [c2]Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet:
Online Learning of Object Representations by Appearance Space Feature Alignment. ICRA 2020: 10473-10479 - [i11]Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn:
Scalable Multi-Task Imitation Learning with Autonomous Improvement. CoRR abs/2003.02636 (2020) - [i10]Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan:
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. CoRR abs/2005.06594 (2020) - [i9]Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari:
Modeling Long-horizon Tasks as Sequential Interaction Landscapes. CoRR abs/2006.04843 (2020) - [i8]Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari:
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. CoRR abs/2006.09001 (2020) - [i7]Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai:
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. CoRR abs/2011.03148 (2020)
2010 – 2019
- 2019
- [c1]Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. CoRL 2019: 1113-1132 - [i6]Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. CoRR abs/1903.01973 (2019) - [i5]Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn:
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. CoRR abs/1906.03352 (2019) - [i4]Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet:
Online Object Representations with Contrastive Learning. CoRR abs/1906.04312 (2019) - [i3]Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee:
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks. CoRR abs/1906.08989 (2019) - 2018
- [i2]Vikas Sindhwani, Stephen Tu, Mohi Khansari:
Learning Contracting Vector Fields For Stable Imitation Learning. CoRR abs/1804.04878 (2018) - 2017
- [i1]Xinchen Yan, Mohi Khansari, Yunfei Bai, Jasmine Hsu, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee:
Learning Grasping Interaction with Geometry-aware 3D Representations. CoRR abs/1708.07303 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-30 20:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: