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1511.08779
Cited By
Multiagent Cooperation and Competition with Deep Reinforcement Learning
27 November 2015
Ardi Tampuu
Tambet Matiisen
Dorian Kodelja
Ilya Kuzovkin
Kristjan Korjus
Juhan Aru
Jaan Aru
Raul Vicente
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Papers citing
"Multiagent Cooperation and Competition with Deep Reinforcement Learning"
50 / 290 papers shown
Title
Spatial Intention Maps for Multi-Agent Mobile Manipulation
Jimmy Wu
Xingyuan Sun
Andy Zeng
Shuran Song
Szymon Rusinkiewicz
Thomas Funkhouser
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0
23 Mar 2021
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
Christoph Killing
Adam R. Villaflor
John M. Dolan
33
5
0
22 Mar 2021
Local Patch AutoAugment with Multi-Agent Collaboration
Shiqi Lin
Tao Yu
Ruoyu Feng
Xin Li
Xin Jin
Zhibo Chen
18
15
0
20 Mar 2021
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
Dmitry Ivanov
Vladimir Egorov
A. Shpilman
22
5
0
24 Feb 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
Jianzhun Shao
Hongchang Zhang
Yuhang Jiang
Shuncheng He
Xiangyang Ji
29
5
0
24 Feb 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu
Xinrun Wang
Runsheng Yu
Xu He
R. Wang
Bo An
S. Obraztsova
Zinovi Rabinovich
35
50
0
16 Feb 2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijiao Zhang
Hao Liu
Fan Wang
Tong Xu
Haoran Xin
Dejing Dou
Hui Xiong
35
79
0
15 Feb 2021
An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors
Pierre El Mqirmi
Francesco Belardinelli
Borja G. Leon
9
0
0
02 Feb 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
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning
P. Parnika
Raghuram Bharadwaj Diddigi
Sai Koti Reddy Danda
S. Bhatnagar
34
19
0
07 Jan 2021
Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning
Zhenglei He
K. Tran
S. Thomassey
Xianyi Zeng
Jie Xu
Changhai Yi
AI4CE
9
62
0
02 Dec 2020
Distributed Deep Reinforcement Learning: An Overview
Mohammad Reza Samsami
Hossein Alimadad
OffRL
14
27
0
22 Nov 2020
Scalable Reinforcement Learning Policies for Multi-Agent Control
Christopher D. Hsu
Heejin Jeong
George J. Pappas
Pratik Chaudhari
13
33
0
16 Nov 2020
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences
Xiaowu Dai
Michael I. Jordan
22
22
0
29 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
33
47
0
20 Oct 2020
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping
Ceyer Wakilpoor
Patrick J. Martin
Carrie Rebhuhn
Amanda Vu
6
21
0
06 Oct 2020
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent
Xiaosa Zhao
Kunpeng Liu
Wei Fan
Lu Jiang
Xiaowei Zhao
Minghao Yin
Yanjie Fu
8
21
0
19 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
29
9
0
09 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
24
20
0
24 Aug 2020
Learning Complex Multi-Agent Policies in Presence of an Adversary
Siddharth Ghiya
Katia P. Sycara
15
3
0
18 Aug 2020
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents
A. M. Hafiz
G. M. Bhat
AI4CE
25
2
0
06 Aug 2020
Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su
Stephen C. Adams
Peter A. Beling
68
101
0
24 Jul 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
Xuan Di
Rongye Shi
29
174
0
10 Jul 2020
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
Unnat Jain
Luca Weihs
Eric Kolve
Ali Farhadi
Svetlana Lazebnik
Aniruddha Kembhavi
A. Schwing
23
55
0
09 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
A. Deka
Katia P. Sycara
AAML
31
32
0
06 Jul 2020
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control
Jinqiu Guo
21
1
0
02 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
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning
Oscar de Lima
Hansal Shah
Ting-Sheng Chu
Brian Fogelson
32
11
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
30
345
0
18 Jun 2020
Competitive Policy Optimization
Manish Prajapat
Kamyar Azizzadenesheli
Alexander Liniger
Yisong Yue
Anima Anandkumar
18
14
0
18 Jun 2020
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Arrasy Rahman
Niklas Höpner
Filippos Christianos
Stefano V. Albrecht
27
54
0
18 Jun 2020
ForMIC: Foraging via Multiagent RL with Implicit Communication
Samuel Shaw
Emerson Wenzel
Alexis Walker
Guillaume Sartoretti
OffRL
16
7
0
15 Jun 2020
Human and Multi-Agent collaboration in a human-MARL teaming framework
N. Navidi
Francois Chabot
Sagar Kurandwad
Irv Lustigman
Vincent Robert
Gregory Szriftgiser
Andrea Schuch
19
2
0
12 Jun 2020
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
Lucas Cassano
Ali H. Sayed
OffRL
33
2
0
05 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES)
Andrew Critch
David M. Krueger
30
50
0
30 May 2020
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports
Baoyu Jing
Zeya Wang
Eric Xing
22
139
0
26 Apr 2020
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Yixin Zhu
Tao Gao
Lifeng Fan
Siyuan Huang
Mark Edmonds
...
Chi Zhang
Siyuan Qi
Ying Nian Wu
J. Tenenbaum
Song-Chun Zhu
27
128
0
20 Apr 2020
A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks
Kun Wang
WaiChing Sun
Q. Du
22
22
0
13 Apr 2020
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game
Pablo V. A. Barros
Ana Tanevska
A. Sciutti
22
21
0
08 Apr 2020
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
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing
Hangyu Mao
Zhibo Gong
Zhen Xiao
17
16
0
05 Mar 2020
Cluster-Based Social Reinforcement Learning
Mahak Goindani
Jennifer Neville
GNN
OffRL
11
5
0
02 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework
Ngoc Duy Nguyen
Thanh Thi Nguyen
Hai V. Nguyen
Doug Creighton
S. Nahavandi
38
3
0
27 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning
Zhenyu Shou
Xuan Di
8
57
0
17 Feb 2020
Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning
Borja G. Leon
Francesco Belardinelli
OffRL
23
17
0
14 Feb 2020
Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation
Kyle Tilbury
Jesse Hoey
AI4CE
11
2
0
12 Feb 2020
Learning Structured Communication for Multi-agent Reinforcement Learning
Junjie Sheng
Xiangfeng Wang
Bo Jin
Junchi Yan
Wenhao Li
Tsung-Hui Chang
Jun Wang
H. Zha
23
50
0
11 Feb 2020
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning
Jun Yamada
John Shawe-Taylor
Z. Fountas
10
8
0
09 Feb 2020
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach
Zeyue Xue
Shuang Luo
Chao-Xiang Wu
Pan Zhou
Kaigui Bian
Wei Du
16
4
0
06 Feb 2020
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