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1706.02275
Cited By
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
7 June 2017
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
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Papers citing
"Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
50 / 636 papers shown
Title
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning
Jian Hu
Siyang Jiang
Seth Austin Harding
Haibin Wu
Shihua Liao
24
86
0
06 Feb 2021
Multi-Agent Reinforcement Learning with Temporal Logic Specifications
Lewis Hammond
Alessandro Abate
Julian Gutierrez
Michael Wooldridge
AI4CE
44
32
0
01 Feb 2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
Siyi Hu
Fengda Zhu
Xiaojun Chang
Xiaodan Liang
OffRL
37
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
24
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 Bowling
Marc Lanctot
42
22
0
11 Jan 2021
Adaptive Synthetic Characters for Military Training
Volkan Ustun
Rajay Kumar
Adam Reilly
Seyed Sajjadi
Andrew Miller
AI4CE
23
10
0
06 Jan 2021
Neurosymbolic Transformers for Multi-Agent Communication
J. Inala
Yichen Yang
James Paulos
Yewen Pu
Osbert Bastani
Vijay Kumar
Martin Rinard
Armando Solar-Lezama
32
24
0
05 Jan 2021
Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys
M. Kouzehgar
Malika Meghjani
Roland Bouffanais
25
23
0
21 Dec 2020
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning
Aleksandra Malysheva
D. Kudenko
A. Shpilman
AI4CE
26
19
0
17 Dec 2020
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication
T. V. D. Heiden
Christoph Salge
E. Gavves
H. V. Hoof
18
9
0
15 Dec 2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
Dong Chen
Kaian Chen
Tianshu Chu
Rui Yao
F. Qiu
Kaixiang Lin
41
65
0
24 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem
Eric T. Chung
Y. Efendiev
W. Leung
Sai-Mang Pun
Zecheng Zhang
19
12
0
17 Nov 2020
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks
Yunlong Lu
Xiaohong Huang
Ke Zhang
Sabita Maharjan
Yan Zhang
17
348
0
17 Nov 2020
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
Roxana Rădulescu
T. Verstraeten
Yijie Zhang
Patrick Mannion
D. Roijers
A. Nowé
25
14
0
14 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie
Dylan P. Losey
R. Tolsma
Chelsea Finn
Dorsa Sadigh
DRL
21
131
0
12 Nov 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
Bowen Baker
LRM
21
33
0
10 Nov 2020
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Ramina Ghods
W. Durkin
J. Schneider
32
15
0
09 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
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
Ekram Hossain
35
237
0
06 Nov 2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
Jing Xu
Fangwei Zhong
Yizhou Wang
27
47
0
25 Oct 2020
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks
Ju-Hyung Lee
Jihong Park
M. Bennis
Young-Chai Ko
38
47
0
20 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
C. de Souza
Rhys Newbury
Akansel Cosgun
P. Castillo
B. Vidolov
Dana Kulić
53
90
0
16 Oct 2020
Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach
Xinyu Huang
Lijun He
Xing Chen
Liejun Wang
Fan Li
13
53
0
16 Oct 2020
A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems
Aigerim Bogyrbayeva
Sungwook Jang
Ankit Shah
Y. Jang
C. Kwon
OffRL
14
30
0
05 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
30
203
0
04 Oct 2020
Learning to Play against Any Mixture of Opponents
Max O. Smith
Thomas W. Anthony
Yongzhao Wang
Michael P. Wellman
OffRL
33
9
0
29 Sep 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Qingrui Zhang
Hao Dong
Wei Pan
29
6
0
20 Sep 2020
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
Yue Guan
Qifan Zhang
Panagiotis Tsiotras
11
7
0
01 Sep 2020
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
Chi Zhang
Philip Odonkor
Shuai Zheng
H. Khorasgani
Susumu Serita
Chetan Gupta
30
20
0
24 Aug 2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
H. Bassani
R. A. Delgado
J. N. D. O. L. Junior
H. R. Medeiros
Pedro H. M. Braga
Mateus G. Machado
L. H. C. Santos
Alain Tapp
10
9
0
18 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
J. Blumenkamp
Amanda Prorok
AAML
AI4CE
16
59
0
06 Aug 2020
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
Zuxin Liu
Baiming Chen
Hongyi Zhou
G. Koushik
M. Hebert
Ding Zhao
AI4CE
50
86
0
30 Jul 2020
Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang
Beining Han
Tonghan Wang
Heng Dong
Chongjie Zhang
35
174
0
24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su
Stephen C. Adams
Peter A. Beling
68
101
0
24 Jul 2020
Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks
Jungyeon Baek
Georges Kaddoum
16
83
0
21 Jul 2020
Reinforcement Communication Learning in Different Social Network Structures
M. Dubova
A. Moskvichev
Robert L. Goldstone
GNN
22
9
0
19 Jul 2020
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning
Guanyu Gao
Yonggang Wen
Xiaohu Wu
Ran A. Wang
7
20
0
09 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
A. Deka
Katia Sycara
AAML
31
32
0
06 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis
Elliot Creager
Animesh Garg
BDL
OffRL
26
85
0
06 Jul 2020
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son
Sungsoo Ahn
Roben Delos Reyes
Jinwoo Shin
Yung Yi
OffRL
28
2
0
22 Jun 2020
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Yan Zhang
Michael M. Zavlanos
OffRL
32
22
0
18 Jun 2020
A New One-Point Residual-Feedback Oracle For Black-Box Learning and Control
Yan Zhang
Yi Zhou
Kaiyi Ji
Michael M. Zavlanos
23
40
0
18 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Gregory Farquhar
Bei Peng
Shimon Whiteson
33
346
0
18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning
Georgios Papoudakis
Filippos Christianos
Stefano V. Albrecht
24
61
0
16 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
OffRL
26
220
0
14 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration
Zhenghao Peng
Hao Sun
Bolei Zhou
18
18
0
14 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
Guannan Qu
Yiheng Lin
Adam Wierman
Na Li
31
69
0
11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Yiheng Lin
Guannan Qu
Longbo Huang
Adam Wierman
34
38
0
11 Jun 2020
The Emergence of Individuality
Jiechuan Jiang
Zongqing Lu
26
34
0
10 Jun 2020
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