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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 / 572 papers shown
Title
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic
Rodolfo Valiente
Behrad Toghi
Ramtin Pedarsani
Y. P. Fallah
63
55
0
02 Feb 2022
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications
Mingyu Cai
Erfan Aasi
C. Belta
C. Vasile
32
24
0
28 Jan 2022
Multi-Agent Adversarial Attacks for Multi-Channel Communications
Juncheng Dong
Suya Wu
Mohammadreza Soltani
Vahid Tarokh
AAML
46
3
0
22 Jan 2022
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization
Charl Maree
C. Omlin
24
8
0
21 Jan 2022
Interpretable Learned Emergent Communication for Human-Agent Teams
Seth Karten
Mycal Tucker
Huao Li
Siva Kailas
Michael Lewis
Katia P. Sycara
AI4CE
23
10
0
19 Jan 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Jingqing Ruan
Yali Du
Xuantang Xiong
Dengpeng Xing
Xiyun Li
Linghui Meng
Haifeng Zhang
Jun Wang
Bo Xu
46
29
0
17 Jan 2022
Conditional Imitation Learning for Multi-Agent Games
Andy Shih
Stefano Ermon
Dorsa Sadigh
32
11
0
05 Jan 2022
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation
Mohammad Salimibeni
Arash Mohammadi
Parvin Malekzadeh
Konstantinos N. Plataniotis
18
5
0
30 Dec 2021
Multiagent Model-based Credit Assignment for Continuous Control
Dongge Han
Chris Xiaoxuan Lu
Tomasz P. Michalak
Michael Wooldridge
27
5
0
27 Dec 2021
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Rui Zhao
Jinming Song
Yufeng Yuan
Haifeng Hu
Yang Gao
Yi Wu
Zhongqian Sun
Yang Wei
32
63
0
22 Dec 2021
Learning to Guide and to Be Guided in the Architect-Builder Problem
Paul Barde
Tristan Karch
Derek Nowrouzezahrai
Clément Moulin-Frier
C. Pal
Pierre-Yves Oudeyer
41
4
0
14 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
Wei-Cheng Tseng
Wei Wei
Da-Cheng Juan
Min Sun
36
2
0
14 Dec 2021
Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots
Zicheng He
Lu Dong
Chunwei Song
Changyin Sun
35
25
0
13 Dec 2021
Federated Reinforcement Learning at the Edge
Konstantinos Gatsis
FedML
26
5
0
11 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Meng Yao
Qiyue Yin
Jun Yang
Tongtong Yu
S. Shen
Junge Zhang
Bin Liang
Kaiqi Huang
27
5
0
07 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation
Ziyuan Zhong
Yun Tang
Yuan Zhou
V. Neves
Yang Liu
Baishakhi Ray
43
60
0
02 Dec 2021
Reward-Free Attacks in Multi-Agent Reinforcement Learning
Ted Fujimoto
T. Doster
A. Attarian
Jill M. Brandenberger
Nathan Oken Hodas
AAML
19
4
0
02 Dec 2021
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
Shan Sun
M. Kiran
Wei Ren
29
2
0
30 Nov 2021
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning
Ralvi Isufaj
Marsel Omeri
M. A. Piera
25
16
0
29 Nov 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning
Xiaoxiao Zhao
Jinlong Lei
Li Li
Jie-bin Chen
OffRL
18
2
0
25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
43
416
0
24 Nov 2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold
Jun Cao
Zhongbo Fan
31
61
0
21 Nov 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen
Ervin Teng
Vincent-Pierre Berges
Ruo-Ping Dong
Hunter Henry
Marwan Mattar
Alexander Zook
Sujoy Ganguly
21
33
0
10 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Rujikorn Charakorn
P. Manoonpong
Nat Dilokthanakul
33
5
0
05 Nov 2021
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
Astrid Vanneste
Wesley Van Wijnsberghe
Simon Vanneste
Kevin Mets
Siegfried Mercelis
Steven Latré
P. Hellinckx
24
4
0
29 Oct 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
Wanggang Shen
Xun Huan
11
40
0
28 Oct 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
44
58
0
26 Oct 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming
Alec Koppel
Amrit Singh Bedi
Bhargav Ganguly
Vaneet Aggarwal
32
4
0
22 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games
Roy Fox
Stephen Marcus McAleer
W. Overman
Ioannis Panageas
32
49
0
20 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuan-Fang Wang
Fangwei Zhong
Jing Xu
Yizhou Wang
LLMAG
19
68
0
15 Oct 2021
Collaborating with Humans without Human Data
D. Strouse
Kevin R. McKee
M. Botvinick
Edward Hughes
Richard Everett
124
161
0
15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
22
23
0
14 Oct 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Shivansh Patel
Saim Wani
Unnat Jain
A. Schwing
Svetlana Lazebnik
Manolis Savva
Angel X. Chang
LM&Ro
24
25
0
12 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
Weichao Mao
Lin F. Yang
Kaipeng Zhang
Tamer Bacsar
39
57
0
12 Oct 2021
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
Ziang Song
Song Mei
Yu Bai
74
67
0
08 Oct 2021
Influencing Towards Stable Multi-Agent Interactions
Woodrow Z. Wang
Andy Shih
Annie Xie
Dorsa Sadigh
38
35
0
05 Oct 2021
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing
Baris Yamansavascilar
A. C. Baktir
Cagatay Sonmez
Atay Ozgovde
Cem Ersoy
11
23
0
05 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
24
57
0
04 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic
Kefan Su
Zongqing Lu
46
25
0
01 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems
Luyao Yuan
Zipeng Fu
Linqi Zhou
Kexin Yang
Song-Chun Zhu
46
10
0
30 Sep 2021
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
60
54
0
28 Sep 2021
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
30
1
0
28 Sep 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay Kumar
97
53
0
25 Sep 2021
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways
S. Nakka
Behdad Chalaki
Andreas A. Malikopoulos
24
23
0
23 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
44
231
0
23 Sep 2021
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Chapman Siu
Jason M. Traish
R. Xu
30
2
0
19 Sep 2021
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning
Javier Yu
Joseph A. Vincent
Mac Schwager
48
35
0
17 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach
Minghao Li
Yingrui Jie
Yang Kong
Hui Cheng
43
9
0
17 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
Chuangchuang Sun
Dong-Ki Kim
Jonathan P. How
AAML
33
19
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
36
92
0
14 Sep 2021
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