本文主要是介绍【二】最新多智能体强化学习文章如何查阅｛顶会：AAAI、 ICML ｝，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
相关文章：
【一】最新多智能体强化学习方法【总结】
【二】最新多智能体强化学习文章如何查阅｛顶会：AAAI、 ICML ｝
【三】多智能体强化学习（MARL）近年研究概览 ｛Analysis of emergent behaviors（行为分析)_、Learning communication（通信学习）｝
【四】多智能体强化学习（MARL）近年研究概览 ｛Learning cooperation（协作学习）、Agents modeling agents（智能体建模）｝
1.中国计算机学会(CCF)推荐国际学术会议和期刊目录
CCF官方网站
CCF推荐国际学术会议（参考链接：链接点击查阅具体分类）
类别如下计算机系统与高性能计算，计算机网络，网络与信息安全，软件工程，系统软件与程序设计语言，数据库、数据挖掘与内容检索，计算机科学理论，计算机图形学与多媒体，人工智能与模式识别，人机交互与普适计算，前沿、交叉与综合
2021 ICML 多智能体强化学习论文整理汇总
| 类别名称 | 数量 |
|---|---|
| 投稿量 | 5513 |
| 接收量 | 1184 |
| 强化学习方向文章 | 163 |
| 其中多智能体强化学习文章 | 15 |
ICML地位：
1.1 中国计算机学会推荐国际学术会议
（人工智能与模式识别）
1.1.1 A类
| 序号 | 会议简称 | 会议全称 | 出版社 | 网址 |
| 1 | AAAI | AAAI Conference on Artificial Intelligence | AAAI | http://www.aaai.org |
| 2 | CVPR | IEEE Conference on Computer Vision and | IEEE | http://www.pamitc.org/cvpr13/ |
| 3 | ICCV | International Conference on Computer | IEEE | http://www.iccv2013.org/ |
| 4 | ICML | International Conference on Machine | ACM | http://icml.cc/2013/ |
| 5 | IJCAI | International Joint Conference on Artificial | Morgan Kaufmann | http://www.ijcai.org |
1.1.2 B类
| 序号 | 会议简称 | 会议全称 | 出版社 | 网址 |
| 1 | COLT | Annual Conference on Computational | Springer | http://orfe.princeton.edu/conferences/colt2013/ |
| 2 | NIPS | Annual Conference on Neural Information | MIT Press | http://www.nips.cc |
1.1.3 B、C类更多见附录
2.推荐深度强化学习实验室及链接
2.1 arXiv
arXiv是一个免费的分发服务和开放存取的档案，收录了物理、数学、计算机科学、定量生物学、定量金融、统计学、电气工程和系统科学以及经济学等领域的1,917,177篇学术文章。本网站上的材料没有经过arXiv的同行评审。
链接：https://arxiv.org/
2.2 深度强化学习实验室
DeepRL——github：https://github.com/neurondance
微信公众号：Deep-RL
官网：http://www.neurondance.com/
论坛：http://deeprl.neurondance.com/
2.3 AI 会议Deadlines
: https://aideadlin.es
2.4 ICML官网：
https://icml.cc/
3.最新多智能体强化学习方向论文
3.1 ICML International Conference on Machine Learning
[1]. Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
作者: Shariq Iqbal (University of Southern California) · Christian Schroeder (University of Oxford) · Bei Peng (University of Oxford) · Wendelin Boehmer (Delft University of Technology) · Shimon Whiteson (University of Oxford) · Fei Sha (Google Research)
[2]. UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
作者: Tarun Gupta (University of Oxford) · Anuj Mahajan (Dept. of Computer Science, University of Oxford) · Bei Peng (University of Oxford) · Wendelin Boehmer (Delft University of Technology) · Shimon Whiteson (University of Oxford)
[3]. Emergent Social Learning via Multi-agent Reinforcement Learning
作者: Kamal Ndousse (OpenAI) · Douglas Eck (Google Brain) · Sergey Levine (UC Berkeley) · Natasha Jaques (Google Brain, UC Berkeley)
[4]. DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
作者: Wei-Fang Sun (National Tsing Hua University) · Cheng-Kuang Lee (NVIDIA Corporation) · Chun-Yi Lee (National Tsing Hua University)
[5]. Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
作者: Iou-Jen Liu (University of Illinois at Urbana-Champaign) · Unnat Jain (UIUC) · Raymond Yeh (University of Illinois at Urbana–Champaign) · Alexander Schwing (UIUC)
[6]. Large-Scale Multi-Agent Deep FBSDEs
作者: Tianrong Chen (Georgia Institute of Technology) · Ziyi Wang (Georgia Institute of Technology) · Ioannis Exarchos (Stanford University) · Evangelos Theodorou (Georgia Tech)
[7]. Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
作者: Anuj Mahajan (Dept. of Computer Science, University of Oxford) · Mikayel Samvelyan (University College London) · Lei Mao (NVIDIA) · Viktor Makoviychuk (NVIDIA) · Animesh Garg (University of Toronto, Vector Institute, Nvidia) · Jean Kossaifi (NVIDIA) · Shimon Whiteson (University of Oxford) · Yuke Zhu (University of Texas - Austin) · Anima Anandkumar (Caltech and NVIDIA)
[8]. Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
作者: Filippos Christianos (University of Edinburgh) · Georgios Papoudakis (The University of Edinburgh) · Muhammad Arrasy Rahman (The University of Edinburgh) · Stefano Albrecht (University of Edinburgh)
[9]. Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning
作者: Tung-Che Liang (Duke University) · Jin Zhou (Duke University) · Yun-Sheng Chan (National Chiao Tung University) · Tsung-Yi Ho (National Tsing Hua University) · Krishnendu Chakrabarty (Duke University) · Cy Lee (National Chiao Tung University)
[10]. A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
作者: Dong Ki Kim (MIT) · Miao Liu (IBM) · Matthew Riemer (IBM Research) · Chuangchuang Sun (MIT) · Marwa Abdulhai (MIT) · Golnaz Habibi (MIT) · Sebastian Lopez-Cot (MIT) · Gerald Tesauro (IBM Research) · Jonathan How (MIT)
[11]. Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
作者: Joel Z Leibo (DeepMind) · Edgar Duenez-Guzman (DeepMind) · Alexander Vezhnevets (DeepMind) · John Agapiou (DeepMind) · Peter Sunehag () · Raphael Koster (DeepMind) · Jayd Matyas (DeepMind) · Charles Beattie (DeepMind Technologies Limited) · Igor Mordatch (Google Brain) · Thore Graepel (DeepMind)
[12]. Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
作者: Luke Marris (DeepMind) · Paul Muller (DeepMind) · Marc Lanctot (DeepMind) · Karl Tuyls (DeepMind) · Thore Graepel (DeepMind)
[13]. Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
作者: Bo Liu (University of Texas, Austin) · Qiang Liu (UT Austin) · Peter Stone (University of Texas at Austin) · Animesh Garg (University of Toronto, Vector Institute, Nvidia) · Yuke Zhu (University of Texas - Austin) · Anima Anandkumar (California Institute of Technology)
[14]. Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
作者: Matthieu Zimmer (Shanghai Jiao Tong University) · Claire Glanois (Shanghai Jiao Tong University) · Umer Siddique (Shanghai Jiao Tong University) · Paul Weng (Shanghai Jiao Tong University)
[15]. FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
作者: Tianhao Zhang (Peking University) · yueheng li (Peking university) · Chen Wang (Peking University) · Zongqing Lu (Peking University) · Guangming Xie (1. State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University; 2. Institute of Ocean Research, Peking University)
3.2 AAAI Conference on Artificial Intelligence
会议时间节点
- August 15 – August 30, 2020: Authors register on the AAAI web site
- September 1, 2020: Electronic abstracts due at 11:59 PM UTC-12 (anywhere on earth)
- September 9, 2020: Electronic papers due at 11:59 PM UTC-12 (anywhere on earth)
- September 29, 2020: Abstracts AND full papers due for revisions of rejected NeurIPS/EMNLP submissions by 11:59 PM UTC-12 (anywhere on earth)
- AAAI-21 Reviewing Process: Two-Phase Reviewing and NeurIPS/EMNLP Fast Track Submissions
- November 3-5, 2020: Author Feedback Window (anywhere on earth)
- December 1, 2020: Notification of acceptance or rejection
具体论文见链接：http://deeprl.neurondance.com/d/191-82aaai2021
接收论文列表(共84篇)
4.附录
4.1 B类
| 序号 | 会议简称 | 会议全称 | 出版社 | 网址 |
| 1 | COLT | Annual Conference on Computational | Springer | http://orfe.princeton.edu/conferences/colt2013/ |
| 2 | NIPS | Annual Conference on Neural Information | MIT Press | http://www.nips.cc |
| 3 | ACL | Annual Meeting of the Association for | ACL | http://acl2013.org/site/index.html |
| 4 | EMNLP | Conference on Empirical Methods in Natural | ACL | http://www.sigdat.org/ |
| 5 | ECAI | European Conference on Artificial | IOS Press | http://www.ecai2013.upit.ro/?i=2542 |
| 6 | ECCV | European Conference on Computer Vision | Springer | http://eccv2012.unifi.it/ |
| 7 | ICRA | IEEE International Conference on Robotics | IEEE | http://www.icra2013.org/ |
| 8 | ICAPS | International Conference on Automated | AAAI | http://www.icaps-conference.org/ |
| 9 | ICCBR | International Conference on Case-Based | Springer | http://www.iccbr.org/ |
| 10 | COLING | International Conference on Computational | ACM | http://www.coling2012-iitb.org/ |
| 11 | KR | International Conference on Principles of | Morgan Kaufmann | http://www.kr.org/ |
| 12 | UAI | International Conference on Uncertainty | AUAI | http://auai.org/ |
| 13 | AAMAS | International Joint Conference | Springer | http://www.aamas-conference.org/ |
4.2 C类
| 序号 | 会议简称 | 会议全称 | 出版社 | 网址 |
| 1 | ACCV | Asian Conference on Computer Vision | Springer | http://www.accv2012.org/ |
| 2 | CoNLL | Conference on Natural Language Learning | CoNLL | http://www.clips.ua.ac.be/conll/ |
| 3 | GECCO | Genetic and Evolutionary Computation | ACM | http://www.sigevo.org/gecco-2013/ |
| 4 | ICTAI | IEEE International Conference on Tools with | IEEE | http://ictai12.unipi.gr/ |
| 5 | ALT | International Conference on Algorithmic | Springer | http://www-alg.ist.hokudai.ac.jp/~thomas/ALT13/ |
| 6 | ICANN | International Conference on Artificial Neural | Springer | https://www.waset.org/conferences/2013/ |
| 7 | FGR | International Conference on Automatic Face | IEEE | http://fg2013.cse.sc.edu/ |
| 8 | ICDAR | International Conference on Document | IEEE | http://www.icdar2013.org/ |
| 9 | ILP | International Conference on Inductive Logic | Springer | http://ilp13.cos.ufrj.br/ |
| 10 | KSEM | International conference on Knowledge | Springer | http://ksem.dlut.edu.cn/ |
| 11 | ICONIP | International Conference on Neural | Springer | http://iconip2013.org/ |
| 12 | ICPR | International Conference on Pattern | IEEE | http://www.icpr2014.org/ |
| 13 | ICB | International Joint Conference on Biometrics | IEEE | http://atvs.ii.uam.es/icb2013/ |
| 14 | IJCNN | International Joint Conference on Neural | IEEE | http://www.ijcnn2013.org/ |
| 15 | PRICAI | Pacific Rim International Conference on | Springer | http://ktw.mimos.my/pricai2012/ |
| 16 | NAACL | The Annual Conference of the North | NAACL | http://naacl2013.naacl.org/ |
| 17 | BMVC | British Machine Vision Conference | British Machine | http://bmvc2013.bristol.ac.uk/ |
这篇关于【二】最新多智能体强化学习文章如何查阅｛顶会：AAAI、 ICML ｝的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
