【二】最新多智能体强化学习文章如何查阅｛顶会：AAAI、 ICML ｝

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【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  Pattern Recognition	IEEE	http://www.pamitc.org/cvpr13/
3	ICCV	International Conference on Computer Vision	IEEE	http://www.iccv2013.org/
4	ICML	International Conference on Machine  Learning	ACM	http://icml.cc/2013/
5	IJCAI	International Joint Conference on Artificial Intelligence	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 Learning Theory	Springer	http://orfe.princeton.edu/conferences/colt2013/
2	NIPS	Annual Conference on Neural Information Processing Systems	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 Learning Theory	Springer	http://orfe.princeton.edu/conferences/colt2013/
2	NIPS	Annual Conference on Neural Information Processing Systems	MIT Press	http://www.nips.cc
3	ACL	Annual Meeting of the Association for  Computational Linguistics	ACL	http://acl2013.org/site/index.html
4	EMNLP	Conference on Empirical Methods in Natural Language Processing	ACL	http://www.sigdat.org/
5	ECAI	European Conference on Artificial  Intelligence	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 and Automation	IEEE	http://www.icra2013.org/
8	ICAPS	International Conference on Automated Planning and Scheduling	AAAI	http://www.icaps-conference.org/
9	ICCBR	International Conference on Case-Based Reasoning	Springer	http://www.iccbr.org/
10	COLING	International Conference on Computational Linguistics	ACM	http://www.coling2012-iitb.org/
11	KR	International Conference on Principles of Knowledge Representation and Reasoning	Morgan Kaufmann	http://www.kr.org/
12	UAI	International Conference on Uncertainty in Artificial Intelligence	AUAI	http://auai.org/
13	AAMAS	International Joint Conference on Autonomous Agents and Multi-agent Systems	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 Conference	ACM	http://www.sigevo.org/gecco-2013/
4	ICTAI	IEEE International Conference on Tools with Artificial Intelligence	IEEE	http://ictai12.unipi.gr/
5	ALT	International Conference on Algorithmic Learning Theory	Springer	http://www-alg.ist.hokudai.ac.jp/~thomas/ALT13/
6	ICANN	International Conference on Artificial Neural Networks	Springer	https://www.waset.org/conferences/2013/ amsterdam/icann/
7	FGR	International Conference on Automatic Face and Gesture Recognition	IEEE	http://fg2013.cse.sc.edu/
8	ICDAR	International Conference on Document Analysis and Recognition	IEEE	http://www.icdar2013.org/
9	ILP	International Conference on Inductive Logic Programming	Springer	http://ilp13.cos.ufrj.br/
10	KSEM	International conference on Knowledge Science,Engineering and Management	Springer	http://ksem.dlut.edu.cn/
11	ICONIP	International Conference on Neural  Information Processing	Springer	http://iconip2013.org/
12	ICPR	International Conference on Pattern  Recognition	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 Networks	IEEE	http://www.ijcnn2013.org/
15	PRICAI	Pacific Rim International Conference on  Artificial Intelligence	Springer	http://ktw.mimos.my/pricai2012/
16	NAACL	The Annual Conference of the North American Chapter of the Association  for Computational Linguistics	NAACL	http://naacl2013.naacl.org/
17	BMVC	British Machine Vision Conference	British Machine Vision  Association	http://bmvc2013.bristol.ac.uk/

来源：https://www.cnblogs.com/ting1/p/16833964.html