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1707.04402
Cited By
Lenient Multi-Agent Deep Reinforcement Learning
14 July 2017
Gregory Palmer
K. Tuyls
D. Bloembergen
Rahul Savani
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Papers citing
"Lenient Multi-Agent Deep Reinforcement Learning"
25 / 25 papers shown
Title
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
Chi-Hui Lin
Joewie J. Koh
A. Roncone
Lijun Chen
34
0
0
05 Apr 2024
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
Xudong Guo
Daming Shi
Junjie Yu
Wenhui Fan
38
4
0
05 Apr 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
Decentralized Policy Optimization
Kefan Su
Zongqing Lu
19
8
0
06 Nov 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos
Georgios Papoudakis
Stefano V. Albrecht
35
4
0
28 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
36
6
0
17 Sep 2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Jiajun Chai
Weifan Li
Yuanheng Zhu
Dongbin Zhao
Zhe Ma
Kewu Sun
Jishiyu Ding
33
43
0
28 Mar 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
62
55
0
28 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
32
19
0
21 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
28
37
0
04 Aug 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Fei Wu
Jun Xiao
OffRL
25
60
0
01 Jun 2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
Chengwei Zhang
Shan Jin
Wanli Xue
Xiaofei Xie
Shengyong Chen
Rong Chen
37
24
0
22 Apr 2021
Multi-Task Federated Reinforcement Learning with Adversaries
Aqeel Anwar
A. Raychowdhury
AAML
FedML
21
20
0
11 Mar 2021
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
67
772
0
19 Mar 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Yaodong Yang
Jianye Hao
Guangyong Chen
Hongyao Tang
Yingfeng Chen
Yujing Hu
Changjie Fan
Zhongyu Wei
23
52
0
10 Feb 2020
Deep Decentralized Reinforcement Learning for Cooperative Control
Florian Köpf
Samuel Tesfazgi
M. Flad
Sören Hohmann
20
2
0
29 Oct 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation
Gang Chen
22
40
0
21 Oct 2019
A Generalized Training Approach for Multiagent Learning
Paul Muller
Shayegan Omidshafiei
Mark Rowland
K. Tuyls
Julien Perolat
...
Zhe Wang
Guy Lever
N. Heess
T. Graepel
Rémi Munos
22
89
0
27 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination
Haifeng Zhang
Weizhe Chen
Zeren Huang
Minne Li
Yaodong Yang
Weinan Zhang
Jun Wang
98
91
0
08 Sep 2019
Learning to Interactively Learn and Assist
Mark P. Woodward
Chelsea Finn
Karol Hausman
27
33
0
24 Jun 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
27
774
0
31 Dec 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
43
551
0
12 Oct 2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning
Gregory Palmer
Rahul Savani
K. Tuyls
28
27
0
13 Sep 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
84
1,656
0
30 Mar 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
134
595
0
28 Feb 2017
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