default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVitchyr Pong
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
[c11]Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. ICML 2022: 17811-17829- 2021
- [c10]Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H. Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. ICML 2021: 6346-6356 - [c9]Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. ICRA 2021: 6635-6641 - [c8]Tim G. J. Rudner, Vitchyr Pong, Rowan McAllister, Yarin Gal, Sergey Levine:
Outcome-Driven Reinforcement Learning via Variational Inference. NeurIPS 2021: 13045-13058 - [i12]Tim G. J. Rudner
, Vitchyr H. Pong, Rowan McAllister, Yarin Gal, Sergey Levine:
Outcome-Driven Reinforcement Learning via Variational Inference. CoRR abs/2104.10190 (2021) - [i11]Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. CoRR abs/2104.11707 (2021) - [i10]Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. CoRR abs/2107.03974 (2021) - [i9]Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. CoRR abs/2107.07184 (2021) - 2020
- [c7]Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine:
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. ICML 2020: 7783-7792
2010 – 2019
- 2019
- [c6]Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRL 2019: 530-539 - [c5]Soroush Nasiriany, Vitchyr Pong, Steven Lin, Sergey Levine:
Planning with Goal-Conditioned Policies. NeurIPS 2019: 14814-14825 - [i8]Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine:
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. CoRR abs/1903.03698 (2019) - [i7]Brian H. Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman:
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. CoRR abs/1905.07447 (2019) - [i6]Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRR abs/1910.11670 (2019) - [i5]Soroush Nasiriany, Vitchyr H. Pong, Steven Lin, Sergey Levine:
Planning with Goal-Conditioned Policies. CoRR abs/1911.08453 (2019) - 2018
- [c4]Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine:
Temporal Difference Models: Model-Free Deep RL for Model-Based Control. ICLR (Poster) 2018 - [c3]Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine:
Composable Deep Reinforcement Learning for Robotic Manipulation. ICRA 2018: 6244-6251 - [c2]Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine:
Visual Reinforcement Learning with Imagined Goals. NeurIPS 2018: 9209-9220 - [i4]Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine:
Temporal Difference Models: Model-Free Deep RL for Model-Based Control. CoRR abs/1802.09081 (2018) - [i3]Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine:
Composable Deep Reinforcement Learning for Robotic Manipulation. CoRR abs/1803.06773 (2018) - [i2]Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine:
Visual Reinforcement Learning with Imagined Goals. CoRR abs/1807.04742 (2018) - 2017
- [i1]Gregory Kahn, Adam Villaflor, Vitchyr Pong, Pieter Abbeel, Sergey Levine:
Uncertainty-Aware Reinforcement Learning for Collision Avoidance. CoRR abs/1702.01182 (2017) - 2016
- [c1]Spyros Maniatopoulos, Philipp Schillinger, Vitchyr Pong, David C. Conner, Hadas Kress-Gazit:
Reactive high-level behavior synthesis for an Atlas humanoid robot. ICRA 2016: 4192-4199
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 2024-04-24 23:19 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:
