ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.08926
  4. Cited By
Counterfactual Multi-Agent Policy Gradients

Counterfactual Multi-Agent Policy Gradients

24 May 2017
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
ArXivPDFHTML

Papers citing "Counterfactual Multi-Agent Policy Gradients"

50 / 269 papers shown
Title
Recent Progress in Energy Management of Connected Hybrid Electric
  Vehicles Using Reinforcement Learning
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
Mingya Hua
Bin Shuai
Quan Zhou
Jinhai Wang
Yinglong He
Hongming Xu
34
2
0
28 Aug 2023
Policy Diversity for Cooperative Agents
Policy Diversity for Cooperative Agents
M. Tan
Andong Tian
Ludovic Denoyer
18
2
0
28 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
27
5
0
22 Aug 2023
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing
  in Disaster Response
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response
Lei Han
Chunyu Tu
Zhiwen Yu
Zhiyong Yu
Weihua Shan
Liang Wang
Bin Guo
14
2
0
21 Aug 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for
  Efficient Decentralized Coordination and Independent Decision-Making
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
Giovanni Minelli
Mirco Musolesi
33
0
0
21 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent
  Policy Optimization
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization
Mohammad Mehdi Nasiri
M. Rezghi
30
0
0
13 Aug 2023
Meta-Value Learning: a General Framework for Learning with Learning
  Awareness
Meta-Value Learning: a General Framework for Learning with Learning Awareness
Tim Cooijmans
Milad Aghajohari
Aaron C. Courville
19
6
0
17 Jul 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou
Shunyu Liu
Yunpeng Qing
Kaixuan Chen
Tongya Zheng
Yanhao Huang
Jie Song
26
17
0
27 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
Wenhao Li
Dan Qiao
Baoxiang Wang
Xiangfeng Wang
Bo Jin
H. Zha
29
5
0
18 May 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated
  Access Backhaul Networks
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks
Shahaf Yamin
H. Permuter
13
3
0
12 May 2023
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Yun Hua
Shang Gao
Wenhao Li
Bo Jin
Xiangfeng Wang
H. Zha
19
3
0
10 May 2023
An Algorithm For Adversary Aware Decentralized Networked MARL
An Algorithm For Adversary Aware Decentralized Networked MARL
Soumajyoti Sarkar
AAML
11
1
0
09 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent
  Reinforcement Learning
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
Yulai Zhao
Zhuoran Yang
Zhaoran Wang
Jason D. Lee
35
3
0
08 May 2023
Efficient Halftoning via Deep Reinforcement Learning
Efficient Halftoning via Deep Reinforcement Learning
Haitian Jiang
Dongliang Xiong
Xiaowen Jiang
Li Ding
Liang Chen
Kai Huang
13
3
0
24 Apr 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient
  Multi-Agent Reinforcement Learning
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Aravind Venugopal
Stephanie Milani
Fei Fang
Balaraman Ravindran
OffRL
16
0
0
12 Apr 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative
  Multi-Agent Reinforcement Learning
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
Shuhan Qi
Shuhao Zhang
Qiang-qiang Wang
Jia-jia Zhang
Jing Xiao
X. Wang
16
0
0
16 Mar 2023
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids
Nicolas Mauricio Cuadrado
Roberto Gutiérrez
Yongli Zhu
Martin Takáč
29
2
0
15 Mar 2023
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in
  Cellular Networks
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks
Jikun Kang
Di Wu
Ju Wang
E. Hossain
Xue Liu
Gregory Dudek
14
0
0
14 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for
  Multi-Agent Reinforcement Learning
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
Woojun Kim
Whiyoung Jung
Myungsik Cho
Young-Jin Sung
24
7
0
01 Mar 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to
  Self-Interested Agents in Sequential Social Dilemmas
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas
Bengisu Guresti
Abdullah Vanlioglu
N. K. Üre
13
5
0
28 Feb 2023
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent
  Reinforcement Learning
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
Xuefeng Wang
Xinran Li
Jiawei Shao
Jun Zhang
11
3
0
24 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
39
38
0
21 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and
  Self-Play
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Fanqing Lin
Shiyu Huang
Tim Pearce
Wenze Chen
Weijuan Tu
21
17
0
15 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems
MANSA: Learning Fast and Slow in Multi-Agent Systems
D. Mguni
Hao Chen
Taher Jafferjee
Jianhong Wang
Long Fei
Xidong Feng
Stephen Marcus McAleer
Feifei Tong
Jun Wang
Yaodong Yang
30
1
0
12 Feb 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity
Improving Zero-Shot Coordination Performance Based on Policy Similarity
Lebin Yu
Yunbo Qiu
Quanming Yao
Xudong Zhang
Jian Wang
12
1
0
10 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual
  Global Max for Cooperative Multi-Agent Reinforcement Learning
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Guangchong Zhou
Zeren Zhang
Guoliang Fan
28
3
0
04 Feb 2023
Multi-Agent Interplay in a Competitive Survival Environment
Multi-Agent Interplay in a Competitive Survival Environment
Andrea Fanti
13
0
0
19 Jan 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
22
40
0
17 Jan 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
Opponent-aware Role-based Learning in Team Competitive Markov Games
Paramita Koley
Aurghya Maiti
Niloy Ganguly
Sourangshu Bhattacharya
24
1
0
14 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
29
5
0
11 Jan 2023
Self-Motivated Multi-Agent Exploration
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
41
5
0
05 Jan 2023
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability
  Optimization in the Metaverse over Wireless Communications
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications
Wen-li Yu
Terence Jie Chua
Jun Zhao
OffRL
11
20
0
30 Dec 2022
Learning Latent Representations to Co-Adapt to Humans
Learning Latent Representations to Co-Adapt to Humans
Sagar Parekh
Dylan P. Losey
18
12
0
19 Dec 2022
Multi-Agent Reinforcement Learning with Shared Resources for Inventory
  Management
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Yuandong Ding
Ming Feng
Guozi Liu
Wei Jiang
Chuheng Zhang
Li Zhao
Lei Song
Houqiang Li
Yan Jin
Jiang Bian
27
16
0
15 Dec 2022
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in
  Multi-Agent Networked Systems
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems
Xin Liu
Honghao Wei
Lei Ying
23
6
0
13 Dec 2022
Curriculum Learning for Relative Overgeneralization
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
20
1
0
06 Dec 2022
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and
  Data Collection in Wireless Systems
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems
Clement Ruah
Osvaldo Simeone
Bashir M. Al-Hashimi
24
28
0
02 Dec 2022
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action
  Spaces
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
Elie Aljalbout
Maximilian Karl
Patrick van der Smagt
21
5
0
28 Nov 2022
Greedy based Value Representation for Optimal Coordination in
  Multi-agent Reinforcement Learning
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan
Zeyang Liu
Xingyu Chen
Xuguang Lan
Han Wang
37
12
0
22 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications
A Survey on Reinforcement Learning in Aviation Applications
Pouria Razzaghi
Amin Tabrizian
Wei Guo
Shulu Chen
Abenezer Taye
Ellis E. Thompson
Alexis Bregeon
Ali Baheri
Peng Wei
OffRL
15
52
0
03 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement
  Learning
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Jennifer She
Jayesh K. Gupta
Mykel J. Kochenderfer
26
4
0
31 Oct 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent
  Reinforcement Learning
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
Yiqun Chen
Hangyu Mao
Jiaxin Mao
Shiguang Wu
Tianle Zhang
Bin Zhang
Bin Wang
Hong Chang
OffRL
36
7
0
17 Oct 2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement
  Learning
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
Pedro P. Santos
Diogo S. Carvalho
Miguel Vasco
Alberto Sardinha
Pedro A. Santos
Ana Paiva
Francisco S. Melo
19
1
0
12 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma
Rose E. Wang
Li Fei-Fei
Michael S. Bernstein
Ranjay Krishna
19
16
0
09 Oct 2022
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
24
7
0
04 Oct 2022
Integrating Conventional Headway Control with Reinforcement Learning to
  Avoid Bus Bunching
Integrating Conventional Headway Control with Reinforcement Learning to Avoid Bus Bunching
Xiheng Wang
6
0
0
01 Oct 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent
  Reinforcement Learning
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos
Georgios Papoudakis
Stefano V. Albrecht
27
4
0
28 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent
  Reinforcement Learning
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
28
6
0
17 Sep 2022
A New Approach to Training Multiple Cooperative Agents for Autonomous
  Driving
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving
Ruiyang Yang
Siheng Li
Beihong Jin
21
0
0
05 Sep 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph
  Learning for Continuous Action Space
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
Yining Chen
Ke Wang
Guang-hua Song
Xiaohong Jiang
20
3
0
23 Aug 2022
Previous
123456
Next