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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
Federated Reinforcement Learning at the Edge
Konstantinos Gatsis
FedML
26
5
0
11 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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