![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
David Mguni
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j3]Hanyu Li
, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
:
A survey on algorithms for Nash equilibria in finite normal-form games. Comput. Sci. Rev. 51: 100613 (2024) - [c16]Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang:
A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. AAMAS 2024: 2830-2832 - [i27]Zhixun Chen, Yali Du, David Mguni:
All Language Models Large and Small. CoRR abs/2402.12061 (2024) - [i26]David Mguni:
Stochastic Games with Minimally Bounded Action Costs. CoRR abs/2407.18010 (2024) - 2023
- [j2]Le Cong Dinh
, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
:
Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. 37(1): 15 (2023) - [c15]David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang:
Learning to Shape Rewards Using a Game of Two Partners. AAAI 2023: 11604-11612 - [c14]David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR 2023 - [c13]David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang:
MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML 2023: 24631-24658 - [c12]Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang:
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. ICML 2023: 32059-32087 - [c11]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS 2023 - [i25]Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni:
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR abs/2302.03439 (2023) - [i24]David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang:
MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR abs/2302.05910 (2023) - [i23]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. CoRR abs/2306.09200 (2023) - [i22]Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang:
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. CoRR abs/2310.18127 (2023) - [i21]Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng:
A survey on algorithms for Nash equilibria in finite normal-form games. CoRR abs/2312.11063 (2023) - 2022
- [j1]Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang:
Online Double Oracle. Trans. Mach. Learn. Res. 2022 (2022) - [c10]Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao:
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. CoRL 2022: 946-955 - [c9]David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang:
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR 2022 - [c8]Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar:
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. ICML 2022: 20423-20443 - [c7]Yurong Chen
, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang:
On the Convergence of Fictitious Play: A Decomposition Approach. IJCAI 2022: 179-185 - [i20]Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar:
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR abs/2202.06558 (2022) - [i19]Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
:
On the Convergence of Fictitious Play: A Decomposition Approach. CoRR abs/2205.01469 (2022) - [i18]Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess:
SEREN: Knowing When to Explore and When to Exploit. CoRR abs/2205.15064 (2022) - [i17]Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang
:
Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR abs/2205.15434 (2022) - [i16]David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR abs/2205.15953 (2022) - [i15]Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni:
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR abs/2209.01054 (2022) - 2021
- [c6]David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang:
Learning in Nonzero-Sum Stochastic Games with Potentials. ICML 2021: 7688-7699 - [c5]Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang:
Modelling Behavioural Diversity for Learning in Open-Ended Games. ICML 2021: 8514-8524 - [c4]Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang:
Settling the Variance of Multi-Agent Policy Gradients. NeurIPS 2021: 13458-13470 - [i14]Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou-Ammar, Jun Wang:
Online Double Oracle. CoRR abs/2103.07780 (2021) - [i13]Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Jun Wang:
Modelling Behavioural Diversity for Learning in Open-Ended Games. CoRR abs/2103.07927 (2021) - [i12]David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang:
Learning to Shape Rewards using a Game of Switching Controls. CoRR abs/2103.09159 (2021) - [i11]David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang:
Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR abs/2103.09284 (2021) - [i10]Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang:
Settling the Variance of Multi-Agent Policy Gradients. CoRR abs/2108.08612 (2021) - [i9]Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang:
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. CoRR abs/2109.01795 (2021) - [i8]Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang:
Online Markov Decision Processes with Non-oblivious Strategic Adversary. CoRR abs/2110.03604 (2021) - [i7]David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang:
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR abs/2110.14468 (2021) - [i6]David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang:
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. CoRR abs/2112.02618 (2021) - [i5]Xiaotie Deng, Yuhao Li, David Mguni, Jun Wang, Yaodong Yang:
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. Electron. Colloquium Comput. Complex. TR21 (2021) - 2020
- [c3]Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. ICML 2020: 10757-10766 - [i4]Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. CoRR abs/2006.01482 (2020)
2010 – 2019
- 2019
- [c2]David Mguni, Joel Jennings, Emilio Sison, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote:
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. AAMAS 2019: 386-394 - [i3]David Mguni, Joel Jennings, Sergio Valcarcel Macua, Emilio Sison, Sofia Ceppi, Enrique Munoz de Cote:
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. CoRR abs/1901.10923 (2019) - [i2]David Mguni:
Cutting Your Losses: Learning Fault-Tolerant Control and Optimal Stopping under Adverse Risk. CoRR abs/1902.05045 (2019) - 2018
- [c1]David Mguni, Joel Jennings, Enrique Munoz de Cote:
Decentralised Learning in Systems With Many, Many Strategic Agents. AAAI 2018: 4686-4693 - [i1]David Mguni, Joel Jennings, Enrique Munoz de Cote:
Decentralised Learning in Systems with Many, Many Strategic Agents. CoRR abs/1803.05028 (2018)
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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 2024-08-25 19:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint