A New Distributed Reinforcement Learning Approach for Multiagent Cooperation Using Team-mate Modeling and Joint Action Generalization

Wiem Zemzem; Ines Hosni

doi:10.25046/aj050201

A New Distributed Reinforcement Learning Approach for Multiagent Cooperation Using Team-mate Modeling and Joint Action Generalization

Advances in Science Technology and Engineering Systems Journal ◽

10.25046/aj050201 ◽

2020 ◽

Vol 5 (2) ◽

pp. 1-12

Author(s):

Wiem Zemzem ◽

Ines Hosni

Keyword(s):

Reinforcement Learning ◽

Joint Action ◽

Learning Approach ◽

Distributed Reinforcement ◽

Multiagent Cooperation

A Distributed Reinforcement Learning Approach to In-network Congestion Control

2020 IEEE/CIC International Conference on Communications in China (ICCC) ◽

10.1109/iccc49849.2020.9238802 ◽

2020 ◽

Author(s):

Tianle Mai ◽

Haipeng Yao ◽

Xing Zhang ◽

Zehui Xiong ◽

Dusit Niyato

Keyword(s):

Reinforcement Learning ◽

Congestion Control ◽

Learning Approach ◽

Network Congestion ◽

Network Congestion Control ◽

Distributed Reinforcement

A distributed reinforcement learning approach for energy and congestion-aware edge networks

Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies ◽

10.1145/3386367.3431670 ◽

2020 ◽

Author(s):

Alessio Sacco ◽

Flavio Esposito ◽

Guido Marchetto

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Distributed Reinforcement ◽

Edge Networks ◽

Congestion Aware

Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications ◽

10.1109/pimrc48278.2020.9217276 ◽

2020 ◽

Author(s):

Yuntao Hu ◽

Ming Chen ◽

Zhaohui Yang ◽

Mingzhe Chen ◽

Guangyu Jia

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Learning Approach ◽

Ofdm Systems ◽

Distributed Reinforcement

Distributed Reinforcement Learning Approach for Vehicular Ad Hoc Networks

IEICE Transactions on Communications ◽

10.1587/transcom.e93.b.1431 ◽

2010 ◽

Vol E93-B (6) ◽

pp. 1431-1442 ◽

Cited By ~ 16

Author(s):

Celimuge WU ◽

Kazuya KUMEKAWA ◽

Toshihiko KATO

Keyword(s):

Reinforcement Learning ◽

Ad Hoc Networks ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Learning Approach ◽

Hoc Networks ◽

Distributed Reinforcement

User association and power allocation for UAV-assisted networks: A distributed reinforcement learning approach

China Communications ◽

10.23919/jcc.2020.12.008 ◽

2020 ◽

Vol 17 (12) ◽

pp. 110-122

Author(s):

Xin Guan ◽

Yang Huang ◽

Chao Dong ◽

Qihui Wu

Keyword(s):

Reinforcement Learning ◽

Power Allocation ◽

User Association ◽

Learning Approach ◽

Distributed Reinforcement

Aggregator election in wireless sensor networks: A distributed reinforcement learning approach

2013 13th Iranian Conference on Fuzzy Systems (IFSC) ◽

10.1109/ifsc.2013.6675637 ◽

2013 ◽

Author(s):

Maryam Hajishabani ◽

Mohammad Sadegh Kordafshari ◽

Mohammad Reza Meybodi

Keyword(s):

Wireless Sensor Networks ◽

Reinforcement Learning ◽

Sensor Networks ◽

Wireless Sensor ◽

Learning Approach ◽

Distributed Reinforcement

A distributed reinforcement learning approach to maximize resource utilization and control handover dropping in multimedia wireless networks

The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications ◽

10.1109/pimrc.2002.1046544 ◽

2003 ◽

Cited By ~ 3

Author(s):

E. Alexandri ◽

G. Martinez ◽

D. Zeghlache

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Resource Utilization ◽

Learning Approach ◽

Multimedia Wireless Networks ◽

And Control ◽

Distributed Reinforcement

Multi-Agent Systems on Sensor Networks: A Distributed Reinforcement Learning Approach

2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing ◽

10.1109/issnip.2005.1595616 ◽

2005 ◽

Cited By ~ 5

Author(s):

Chen-Khong Tham ◽

J.-C. Renaud

Keyword(s):

Reinforcement Learning ◽

Sensor Networks ◽

Learning Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Distributed Reinforcement

A Local Collaborative Distributed Reinforcement Learning Approach for Resource Allocation in V2X Networks

10.1007/978-3-030-86130-8_35 ◽

2021 ◽

pp. 442-454

Author(s):

Yue Zhang ◽

Guoping Tan ◽

Siyuan Zhou

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Learning Approach ◽

Distributed Reinforcement

A Distributed Reinforcement Learning approach for Power Control in Wireless Networks

2021 IEEE World AI IoT Congress (AIIoT) ◽

10.1109/aiiot52608.2021.9454208 ◽

2021 ◽

Author(s):

Antonio Ornatelli ◽

Andrea Tortorelli ◽

Francesco Liberati

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Power Control ◽

Learning Approach ◽

Distributed Reinforcement