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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 / 636 papers shown
Title
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma
Rose E. Wang
Li Fei-Fei
Michael S. Bernstein
Ranjay Krishna
29
16
0
09 Oct 2022
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design
Gianluca Brero
Alon Eden
D. Chakrabarti
M. Gerstgrasser
Amy Greenwald
Vincent Li
David C. Parkes
25
2
0
07 Oct 2022
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of
  Connected Autonomous Vehicles in Challenging Scenarios
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang
Songyang Han
Jiangwei Wang
Fei Miao
38
19
0
05 Oct 2022
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
32
7
0
04 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
Huanzhou Zhu
Bo Zhao
Gang Chen
Weifeng Chen
Yijie Chen
Liang Shi
Yaodong Yang
Peter R. Pietzuch
Lei Chen
OffRL
MoE
18
6
0
03 Oct 2022
Reinforcement Learning Algorithms: An Overview and Classification
Reinforcement Learning Algorithms: An Overview and Classification
Fadi AlMahamid
Katarina Grolinger
21
40
0
29 Sep 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent
  Reinforcement Learning
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos
Georgios Papoudakis
Stefano V. Albrecht
35
4
0
28 Sep 2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep
  Reinforcement Learning
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning
Junfeng Chen
Fuqin Deng
Yuan Gao
Junjie Hu
Xiyue Guo
Guanqi Liang
Tin Lun Lam
37
7
0
28 Sep 2022
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs
T. Langerak
Sammy Christen
Mert Albaba
Christoph Gebhardt
Otmar Hilliges
OffRL
24
0
0
26 Sep 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative
  MARL
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
R. Gorsane
Omayma Mahjoub
Ruan de Kock
Roland Dubb
Siddarth S. Singh
Arnu Pretorius
OffRL
44
50
0
21 Sep 2022
Relational Reasoning via Set Transformers: Provable Efficiency and
  Applications to MARL
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
Fengzhuo Zhang
Boyi Liu
Kaixin Wang
Vincent Y. F. Tan
Zhuoran Yang
Zhaoran Wang
OffRL
LRM
51
10
0
20 Sep 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Yuchen Xiao
Weihao Tan
Chris Amato
OffRL
64
19
0
20 Sep 2022
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations
  for Flocking Control
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control
Yunbo Qiu
Yuzhu Zhan
Yue Jin
Jian Wang
Xudong Zhang
26
6
0
17 Sep 2022
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking
  Control
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control
Yunbo Qiu
Yue Jin
Jian Wang
Xudong Zhang
16
1
0
17 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent
  Reinforcement Learning
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
38
6
0
17 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
66
5
0
15 Sep 2022
Energy Management of Multi-mode Hybrid Electric Vehicles based on
  Hand-shaking Multi-agent Learning
Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning
Mingya Hua
Zhi Li
Quan Zhou
21
2
0
06 Sep 2022
A New Approach to Training Multiple Cooperative Agents for Autonomous
  Driving
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving
Ruiyang Yang
Siheng Li
Beihong Jin
26
0
0
05 Sep 2022
A further exploration of deep Multi-Agent Reinforcement Learning with
  Hybrid Action Space
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space
Hongzhi Hua
Guixuan Wen
Kaigui Wu
27
1
0
30 Aug 2022
Decentralized Coordination in Partially Observable Queueing Networks
Decentralized Coordination in Partially Observable Queueing Networks
Jiekai Jia
Anam Tahir
Heinz Koeppl
39
1
0
29 Aug 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph
  Learning for Continuous Action Space
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
Yining Chen
Ke Wang
Guang-hua Song
Xiaohong Jiang
28
3
0
23 Aug 2022
Exploring Task-oriented Communication in Multi-agent System: A Deep
  Reinforcement Learning Approach
Exploring Task-oriented Communication in Multi-agent System: A Deep Reinforcement Learning Approach
Guojun He
29
0
0
22 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations
  Among Team Members
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse
Thomas Rood
Mateusz Malinowski
Yoram Bachrach
Tal Kachman
37
10
0
18 Aug 2022
Ad Hoc Teamwork in the Presence of Adversaries
Ad Hoc Teamwork in the Presence of Adversaries
Ted Fujimoto
Samrat Chatterjee
A. Ganguly
35
2
0
09 Aug 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to
  Cooperative MARL
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL
J. Kuba
Xidong Feng
Shiyao Ding
Hao Dong
Jun Wang
Yaodong Yang
26
16
0
02 Aug 2022
Cooperative Actor-Critic via TD Error Aggregation
Cooperative Actor-Critic via TD Error Aggregation
Martin Figura
Yixuan Lin
Ji Liu
V. Gupta
28
1
0
25 Jul 2022
Actor-Critic based Improper Reinforcement Learning
Actor-Critic based Improper Reinforcement Learning
Mohammadi Zaki
Avinash Mohan
Aditya Gopalan
Shie Mannor
21
2
0
19 Jul 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable
  Strategies in Two-Player Atari Games
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games
Zihan Ding
DiJia Su
Qinghua Liu
Chi Jin
33
3
0
18 Jul 2022
Scalable Model-based Policy Optimization for Decentralized Networked
  Systems
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Yali Du
Chengdong Ma
Yuchen Liu
Runji Lin
Hao Dong
Jun Wang
Yaodong Yang
34
8
0
13 Jul 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
Matteo Bettini
Ryan Kortvelesy
J. Blumenkamp
Amanda Prorok
26
36
0
07 Jul 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in
  Large Networked Systems
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
Miguel Suau
Jinke He
Mustafa Mert cCelikok
M. Spaan
F. Oliehoek
24
1
0
01 Jul 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from
  Experience Replay Buffer
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Jeewon Jeon
Woojun Kim
Whiyoung Jung
Young-Jin Sung
29
35
0
20 Jun 2022
Intelligent Blockchain-based Edge Computing via Deep Reinforcement
  Learning: Solutions and Challenges
Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges
Dinh C. Nguyen
Van-Dinh Nguyen
Ming Ding
Symeon Chatzinotas
P. Pathirana
Aruna Seneviratne
O. Dobre
Albert Y. Zomaya
6
11
0
17 Jun 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement
  Learning
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen
Tianhao Wu
Shengjie Wang
Xidong Feng
Jiechuan Jiang
...
Yiran Geng
Hao Dong
Zongqing Lu
Song-Chun Zhu
Yaodong Yang
OffRL
51
109
0
17 Jun 2022
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
29
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
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based
  on Maximum Entropy
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy
Hongzhi Hua
Kaigui Wu
Guixuan Wen
24
0
0
10 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
27
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
27
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
33
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
24
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
16
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
32
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
26
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
179
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
37
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
83
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
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