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1705.08926
Cited By
Counterfactual Multi-Agent Policy Gradients
24 May 2017
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
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Papers citing
"Counterfactual Multi-Agent Policy Gradients"
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Title
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems
Junfeng Chen
Yuan Gao
Junjie Hu
Fuqin Deng
Tin Lun Lam
16
1
0
28 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
J. Kuba
Ruiqing Chen
Munning Wen
Ying Wen
Fanglei Sun
Jun Wang
Yaodong Yang
16
229
0
23 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
Chuangchuang Sun
Dong-Ki Kim
Jonathan P. How
AAML
31
18
0
14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
30
92
0
14 Sep 2021
Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems
Heunchul Lee
Jaeseong Jeong
16
8
0
10 Sep 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Ziyi Chen
Yi Zhou
Rongrong Chen
Shaofeng Zou
13
24
0
08 Sep 2021
Heterogeneous Graph Attention Networks for Learning Diverse Communication
Esmaeil Seraj
Zheyuan Wang
Rohan R. Paleja
Matt B Sklar
Anirudh Patel
Matthew C. Gombolay
24
19
0
21 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients
J. Kuba
Muning Wen
Yaodong Yang
Linghui Meng
Shangding Gu
Haifeng Zhang
D. Mguni
Jun Wang
18
58
0
19 Aug 2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Mengyuan Li
Bin Guo
Jiangshan Zhang
Jiaqi Liu
Sicong Liu
Zhiwen Yu
Zhetao Li
Liyao Xiang
19
12
0
16 Aug 2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness
Shibhansh Dohare
R. Sutton
A. R. Mahmood
CLL
30
80
0
13 Aug 2021
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network
Yan Shao
Rongpeng Li
Bing Hu
Yingxiao Wu
Zhifeng Zhao
Honggang Zhang
20
46
0
11 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Iou-Jen Liu
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
21
15
0
06 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
OOD
27
36
0
05 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
13
37
0
04 Aug 2021
Accelerating the Learning of TAMER with Counterfactual Explanations
Jakob Karalus
F. Lindner
OffRL
16
4
0
03 Aug 2021
Model Free Barrier Functions via Implicit Evading Maneuvers
Eric Squires
Rohit Konda
Samuel Coogan
M. Egerstedt
14
6
0
27 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
A. Schwing
33
104
0
23 Jul 2021
Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention
Jingwei Zhang
Bin Zi
Xiaoyu Ge
OffRL
16
19
0
09 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Social Coordination and Altruism in Autonomous Driving
Behrad Toghi
Rodolfo Valiente
Dorsa Sadigh
Ramtin Pedarsani
Y. P. Fallah
21
66
0
01 Jul 2021
Distributed Heuristic Multi-Agent Path Finding with Communication
Ziyuan Ma
Yudong Luo
Hang Ma
15
69
0
21 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
Ying Wen
Hui Chen
Yaodong Yang
Zheng Tian
Minne Li
Xu Chen
Jun Wang
33
11
0
12 Jun 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
Chao Wen
Miao Xu
Zhilin Zhang
Zhenzhe Zheng
Yuhui Wang
...
Jian Xu
Fan Wu
Guihai Chen
Xiaoqiang Zhu
Bo Zheng
21
15
0
11 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Fei Wu
Jun Xiao
OffRL
10
60
0
01 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning
Oriol Corcoll
Youssef Mohamed
Raul Vicente
18
3
0
01 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
19
32
0
31 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
26
86
0
04 May 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
Jiawei Wang
Lijun Sun
11
16
0
02 May 2021
Two-stage training algorithm for AI robot soccer
Taeyoung Kim
L. Vecchietti
Kyujin Choi
Sanem Sariel
Dongsoo Har
21
6
0
13 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
Florian Laurent
Manuel Schneider
Christian Scheller
J. Watson
Jiaoyang Li
...
Nilabha Bhattacharya
Shivam Agarwal
A. Egli
Erik Nygren
Sharada Mohanty
31
28
0
30 Mar 2021
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
Christoph Killing
Adam R. Villaflor
John M. Dolan
22
5
0
22 Mar 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
Jianzhun Shao
Hongchang Zhang
Yuhang Jiang
Shuncheng He
Xiangyang Ji
24
5
0
24 Feb 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
Thomas Spooner
N. Vadori
Sumitra Ganesh
14
7
0
20 Feb 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos
Georgios Papoudakis
Arrasy Rahman
Stefano V. Albrecht
17
114
0
15 Feb 2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijiao Zhang
Hao Liu
Fan Wang
Tong Bill Xu
Haoran Xin
Dejing Dou
Hui Xiong
27
79
0
15 Feb 2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
Siyi Hu
Fengda Zhu
Xiaojun Chang
Xiaodan Liang
OffRL
23
71
0
20 Jan 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
Nikunj Gupta
G. Srinivasaraghavan
S. Mohalik
Nishant Kumar
Matthew E. Taylor
13
15
0
18 Jan 2021
Solving Common-Payoff Games with Approximate Policy Iteration
Samuel Sokota
Edward Lockhart
Finbarr Timbers
Elnaz Davoodi
Ryan DÓrazio
Neil Burch
Martin Schmid
Michael H. Bowling
Marc Lanctot
42
22
0
11 Jan 2021
Neurosymbolic Transformers for Multi-Agent Communication
J. Inala
Yichen Yang
James Paulos
Yewen Pu
Osbert Bastani
Vijay R. Kumar
Martin Rinard
Armando Solar-Lezama
24
24
0
05 Jan 2021
Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys
M. Kouzehgar
Malika Meghjani
Roland Bouffanais
17
23
0
21 Dec 2020
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
Sheng Chen
Menghui Zhu
Deheng Ye
Weinan Zhang
Qiang Fu
Wei Yang
19
29
0
18 Dec 2020
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie
Dylan P. Losey
R. Tolsma
Chelsea Finn
Dorsa Sadigh
DRL
15
132
0
12 Nov 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
Bowen Baker
LRM
13
33
0
10 Nov 2020
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems
Sushmita Bhattacharya
Siva Kailas
Sahil Badyal
Stephanie Gil
Dimitri Bertsekas
17
24
0
09 Nov 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
136
193
0
19 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
16
202
0
04 Oct 2020
Learning to Play against Any Mixture of Opponents
Max O. Smith
Thomas W. Anthony
Yongzhao Wang
Michael P. Wellman
OffRL
19
9
0
29 Sep 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Qingrui Zhang
Hao Dong
Wei Pan
12
6
0
20 Sep 2020
Competing AI: How does competition feedback affect machine learning?
Antonio A. Ginart
Eva Zhang
Yongchan Kwon
James Y. Zou
AAML
13
0
0
15 Sep 2020
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning
Jian Hu
Seth Austin Harding
Haibin Wu
Siyue Hu
Shih-Wei Liao
16
9
0
09 Sep 2020
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