default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMohamad H. Danesh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c4]Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren:
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. AAAI 2024: 10953-10961- [i8]Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi:
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR abs/2402.03046 (2024) - [i7]Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi, Mohamad H. Danesh, Fuxin Li:
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions. CoRR abs/2402.17065 (2024) - 2023
- [i6]Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren:
Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. CoRR abs/2307.05209 (2023) - 2022
- [c3]Mohamad Hosein Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRL 2022: 199-211 - [i5]Mohamad H. Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRR abs/2209.11422 (2022) - 2021
- [c2]Mohamad H. Danesh:
Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract). AAAI 2021: 15775-15776 - [c1]Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram:
Re-understanding Finite-State Representations of Recurrent Policy Networks. ICML 2021: 2388-2397 - [i4]Saeed Khorram, Xiao Fu, Mohamad H. Danesh, Zhongang Qi, Fuxin Li:
Stochastic Block-ADMM for Training Deep Networks. CoRR abs/2105.00339 (2021) - [i3]Mohamad H. Danesh, Alan Fern:
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results. CoRR abs/2107.04982 (2021) - 2020
- [i2]Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram:
Understanding Finite-State Representations of Recurrent Policy Networks. CoRR abs/2006.03745 (2020) - [i1]Mohamad H. Danesh:
Reducing Neural Network Parameter Initialization Into an SMT Problem. CoRR abs/2011.01191 (2020)
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 22:59 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:
