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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 / 547 papers shown
Title
Convergence and Price of Anarchy Guarantees of the Softmax Policy
  Gradient in Markov Potential Games
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games
Dingyang Chen
Qi Zhang
Thinh T. Doan
26
12
0
15 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent
  Reinforcement Learning
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
34
32
0
15 Jun 2022
Universally Expressive Communication in Multi-Agent Reinforcement
  Learning
Universally Expressive Communication in Multi-Agent Reinforcement Learning
Matthew Morris
Thomas D. Barrett
Arnu Pretorius
24
4
0
14 Jun 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL
  with SAPIENS
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti
Matéo Mahaut
Pierre-Yves Oudeyer
Ida Momennejad
Clément Moulin-Frier
21
9
0
10 Jun 2022
Scalable Joint Learning of Wireless Multiple-Access Policies and their
  Signaling
Scalable Joint Learning of Wireless Multiple-Access Policies and their Signaling
Mateus P. Mota
Álvaro Valcarce
J. Gorce
18
6
0
08 Jun 2022
Stabilizing Voltage in Power Distribution Networks via Multi-Agent
  Reinforcement Learning with Transformer
Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer
Minrui Wang
Ming Feng
Wen-gang Zhou
Houqiang Li
30
9
0
08 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
21
14
0
06 Jun 2022
Machine learning applications for electricity market agent-based models:
  A systematic literature review
Machine learning applications for electricity market agent-based models: A systematic literature review
Alexander J. M. Kell
S. McGough
M. Forshaw
8
3
0
05 Jun 2022
Learning Distributed and Fair Policies for Network Load Balancing as
  Markov Potential Game
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao
Zihan Ding
OffRL
24
2
0
03 Jun 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in
  Multi-Agent Deep Reinforcement Learning
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
Haoxing Chen
Guang Yang
Junge Zhang
Qiyue Yin
Kaiqi Huang
20
2
0
02 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games
Ziyi Liu
Xian Guo
Yongchun Fang
18
0
0
31 May 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Muning Wen
J. Kuba
Runji Lin
Weinan Zhang
Ying Wen
Jun Wang
Yaodong Yang
26
178
0
30 May 2022
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Ho Long Fung
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
30
5
0
25 May 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent
  Reinforcement Learning
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
Stephanie Milani
Zhicheng Zhang
Nicholay Topin
Z. Shi
Charles A. Kamhoua
Evangelos E. Papalexakis
Fei Fang
OffRL
80
13
0
25 May 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Linrui Zhang
Li Shen
Long Yang
Shi-Yong Chen
Bo Yuan
Xueqian Wang
Dacheng Tao
13
62
0
24 May 2022
Learning Progress Driven Multi-Agent Curriculum
Learning Progress Driven Multi-Agent Curriculum
Wenshuai Zhao
Zhiyuan Li
Joni Pajarinen
37
0
0
20 May 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against
  adversarial perturbations on states
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states
Ziyuan Zhou
Guanjun Liu
AAML
35
23
0
15 May 2022
Encouraging Human Interaction with Robot Teams: Legible and Fair Subtask
  Allocations
Encouraging Human Interaction with Robot Teams: Legible and Fair Subtask Allocations
Soheil Habibian
Dylan P. Losey
13
10
0
06 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
29
24
0
05 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent
  Reinforcement Learning
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
27
6
0
20 Apr 2022
Independent Natural Policy Gradient Methods for Potential Games:
  Finite-time Global Convergence with Entropy Regularization
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization
Shicong Cen
Fan Chen
Yuejie Chi
33
15
0
12 Apr 2022
Robust Event-Driven Interactions in Cooperative Multi-Agent Learning
Robust Event-Driven Interactions in Cooperative Multi-Agent Learning
Daniel Jarne Ornia
M. Mazo
29
1
0
07 Apr 2022
A Contextual Framework for Adaptive User Interfaces: Modelling the
  Interaction Environment
A Contextual Framework for Adaptive User Interfaces: Modelling the Interaction Environment
Mateusz Dubiel
B. Yilma
Kayhan Latifzadeh
Luis A. Leiva
26
2
0
31 Mar 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Jaan Aru
Aqeel Labash
Oriol Corcoll
Raul Vicente
28
26
0
30 Mar 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
Yang Guan
Minghuan Liu
Weijun Hong
Weinan Zhang
Fei Fang
Guangjun Zeng
Yue Lin
25
26
0
30 Mar 2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative
  Scenarios
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
Remember and Forget Experience Replay for Multi-Agent Reinforcement
  Learning
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning
Pascal Weber
Daniel Wälchli
Mustafa Zeqiri
Petros Koumoutsakos
CLL
OffRL
15
7
0
24 Mar 2022
Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal
  Velocity Obstacle Shaped Rewards
Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards
Ruihua Han
Shengduo Chen
Shuaijun Wang
Zeqing Zhang
R. Gao
Qi Hao
Jia Pan
30
99
0
19 Mar 2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for
  Unexpected Crashed Agents
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Jian Zhao
Youpeng Zhao
Weixun Wang
Mingyu Yang
Xu Hu
Wen-gang Zhou
Jianye Hao
Houqiang Li
15
7
0
16 Mar 2022
Learning to Infer Belief Embedded Communication
Learning to Infer Belief Embedded Communication
Guo Ye
Han Liu
B. Sengupta
21
0
0
15 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its
  Application to Autonomous Mobility
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
Lukas M. Schmidt
Johanna Brosig
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
38
33
0
15 Mar 2022
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its
  Warehouse Applications
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications
Tim Tsz-Kit Lau
B. Sengupta
25
4
0
14 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
38
19
0
09 Mar 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light
  Control
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control
Ruijie Zhu
Lulu Li
Shuning Wu
Pei Lv
Yafai Li
Mingliang Xu
28
48
0
08 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced
  Mean-Field Approximation
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation
Donghan Xie
Zhi Wang
Chunlin Chen
D. Dong
OffRL
23
8
0
06 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in
  Environments with Sparse Rewards: What and When to Share?
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
22
9
0
24 Feb 2022
Comparative analysis of machine learning methods for active flow control
Comparative analysis of machine learning methods for active flow control
F. Pino
Lorenzo Schena
Jean Rabault
M. A. Mendez
26
43
0
23 Feb 2022
Multi-Agent Reinforcement Learning for Network Selection and Resource
  Allocation in Heterogeneous multi-RAT Networks
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks
Mhd Saria Allahham
A. Abdellatif
N. Mhaisen
Amr M. Mohamed
A. Erbad
M. Guizani
18
31
0
21 Feb 2022
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy
  Regularization
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization
Jian Zhao
Yue Zhang
Xu Hu
Weixun Wang
Wen-gang Zhou
Jianye Hao
Jiangcheng Zhu
Houqiang Li
19
4
0
09 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo-wen Li
Ding Zhao
30
144
0
04 Feb 2022
Federated Reinforcement Learning for Collective Navigation of Robotic
  Swarms
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
Seongin Na
Tomáš Rouček
Jiří Ulrich
Jan Pikman
T. Krajník
Barry Lennox
F. Arvin
34
34
0
02 Feb 2022
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
24
5
0
27 Dec 2021
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