Georgios Papoudakis 个人学术档案

引用次数

	总计	2019 年至今
引用	751	748
h 指数	8	8
i10 指数	7	6

280

140

210

20182019202020212022202320242 6 31 68 177 271 191

开放获取的出版物数量

查看全部

4 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Stefano V. AlbrechtSchool of Informatics, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Filippos ChristianosUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Lukas SchäferPhD Data Science and Artificial Intelligence, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Muhammad Arrasy RahmanPostdoctoral Research Fellow, The University of Texas at Austin在 cs.utexas.edu 的电子邮件经过验证
Shangmin GuoUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Ignacio CarluchoAssistant Professor, Heriot-Watt University在 hw.ac.uk 的电子邮件经过验证
Balint GyevnarUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Giuseppe VecchioUniversity of Catania在 phd.unict.it 的电子邮件经过验证
Cillian BrewittPhD Student, School of Informatics, Edinburgh University在 ed.ac.uk 的电子邮件经过验证
Cheng WangUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Mhairi DunionUniversity of Ediburgh在 ed.ac.uk 的电子邮件经过验证
Ibrahim H. AhmedUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Trevor McInroeUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Samuel GarcinPhD Student, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Massimiliano TamborskiUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Jonathan ThomasChalmers University of Technology在 chalmers.se 的电子邮件经过验证
Pericles A. MitkasProfessor of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece在 auth.gr 的电子邮件经过验证
Kyriakos ChatzidimitriouSenior Data Scientist at A.Team在 issel.ee.auth.gr 的电子邮件经过验证
Haitham Bou-AmmarRL-Team Leader, BO-Team Leader, MAS-Team Leader @ Huawei London & H. Assistant Professor @ UCL在 huawei.com 的电子邮件经过验证
Kun ShaoHuawei Noah’s Ark Lab在 huawei.com 的电子邮件经过验证

关注

Georgios Papoudakis

Huawei Research

在 ed.ac.uk 的电子邮件经过验证 - 首页

reinforcement learning multi-agent systems llm


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Benchmarking multi-agent deep reinforcement learning algorithms in cooperative tasks G Papoudakis, F Christianos, L Schäfer, SV Albrecht Neural Information Processing Systems Track on Datasets and Benchmarks, 2021	282*	2021
Dealing with non-stationarity in multi-agent deep reinforcement learning G Papoudakis, F Christianos, A Rahman, SV Albrecht arXiv preprint arXiv:1906.04737, 2019	215	2019
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing F Christianos, G Papoudakis, A Rahman, SV Albrecht International Conference on Machine Learning, 2021	115	2021
Agent modelling under partial observability for deep reinforcement learning G Papoudakis, F Christianos, S Albrecht Advances in Neural Information Processing Systems 34, 19210-19222, 2021	88*	2021
Deep reinforcement learning for multi-agent interaction IH Ahmed, C Brewitt, I Carlucho, F Christianos, M Dunion, E Fosong, ... Ai Communications 35 (4), 357-368, 2022	15	2022
Scalable multi-agent reinforcement learning for warehouse logistics with robotic and human co-workers A Krnjaic, RD Steleac, JD Thomas, G Papoudakis, L Schäfer, AWK To, ... arXiv preprint arXiv:2212.11498, 2022	13	2022
Deep reinforcement learning for Doom using unsupervised auxiliary tasks G Papoudakis, KC Chatzidimitriou, PA Mitkas arXiv preprint arXiv:1807.01960, 2018	11	2018
Pangu-agent: A fine-tunable generalist agent with structured reasoning F Christianos, G Papoudakis, M Zimmer, T Coste, Z Wu, J Chen, ... arXiv preprint arXiv:2312.14878, 2023	8	2023
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning F Christianos, G Papoudakis, SV Albrecht Transactions on Machine Learning Research, 2023	4	2023
Autonomous Agents Research Group S Albrecht, F Christianos, L Schäfer, T McInroe, M Dunion, A Jelley, ...		2020
A generative model for sparse, evolving digraphs G Papoudakis, P Preux, M Monperrus Complex Networks & Their Applications VI: Proceedings of Complex Networks …, 2018		2018

系统目前无法执行此操作，请稍后再试。

文章 1–11

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用