Остановите войну!
for scientists:
default search action
Paul Weng
Publications
- 2024
- [i31]Zhaohui Jiang, Paul Weng:
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning. CoRR abs/2402.03329 (2024) - 2023
- [c50]Guanbao Yu, Umer Siddique, Paul Weng:
Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions. AAMAS Workshops 2023: 3-29 - [c48]Guanbao Yu, Umer Siddique, Paul Weng:
Fair Deep Reinforcement Learning with Preferential Treatment. ECAI 2023: 2922-2929 - [c46]Zhaohui Jiang, Paul Weng:
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning. ECML/PKDD (4) 2023: 556-572 - 2022
- [c43]Hejun Lei, Paul Weng, Juan Rojas, Yisheng Guan:
Planning with Q-Values in Sparse Reward Reinforcement Learning. ICIRA (1) 2022: 603-614 - [c42]Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao:
Neuro-Symbolic Hierarchical Rule Induction. ICML 2022: 7583-7615 - 2021
- [j9]Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng:
Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning. IEEE Robotics Autom. Lett. 6(2): 3537-3544 (2021) - [c40]Jianyi Zhang, Paul Weng:
Safe Distributional Reinforcement Learning. DAI 2021: 107-128 - [c39]Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng:
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. ICML 2021: 12967-12978 - [i26]Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu:
Differentiable Logic Machines. CoRR abs/2102.11529 (2021) - [i25]Jianyi Zhang, Paul Weng:
Safe Distributional Reinforcement Learning. CoRR abs/2102.13446 (2021) - [i24]Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao:
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. CoRR abs/2103.08228 (2021) - [i21]Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu:
A Survey on Interpretable Reinforcement Learning. CoRR abs/2112.13112 (2021) - [i20]Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu:
Neuro-Symbolic Hierarchical Rule Induction. CoRR abs/2112.13418 (2021) - 2020
- [j8]Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Yisheng Guan, Juan Rojas, Paul Weng:
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5(4): 6615-6622 (2020) - [c37]Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge:
Decomposed Deep Reinforcement Learning for Robotic Control. AAMAS 2020: 1834-1836 - [c36]Umer Siddique, Paul Weng, Matthieu Zimmer:
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards. ICML 2020: 8905-8915 - [i18]Umer Siddique, Paul Weng, Matthieu Zimmer:
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards. CoRR abs/2008.07773 (2020) - [i17]Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng:
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning. CoRR abs/2010.08252 (2020) - [i16]Matthieu Zimmer, Umer Siddique, Paul Weng:
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2012.09421 (2020) - 2019
- [c35]Matthieu Zimmer, Paul Weng:
An efficient reinforcement learning algorithm for learning deterministic policies in continuous domains. DAI 2019: 4:1-4:7 - [c34]Matthieu Zimmer, Paul Weng:
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. IJCAI 2019: 4496-4502 - [i14]Matthieu Zimmer, Paul Weng:
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. CoRR abs/1906.04556 (2019) - [i12]Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng:
Invariant Transform Experience Replay. CoRR abs/1909.10707 (2019) - [i11]Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng:
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation. CoRR abs/1910.09959 (2019)
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 2024-04-25 20:59 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint