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Counterfactual Multi-Agent Policy Gradients

Counterfactual Multi-Agent Policy Gradients

24 May 2017
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
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Papers citing "Counterfactual Multi-Agent Policy Gradients"

19 / 269 papers shown
Title
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
Diego Perez-Liebana
Katja Hofmann
Sharada Mohanty
Noburu Kuno
André Kramer
Sam Devlin
Raluca D. Gaina
Daniel Ionita
LRM
18
35
0
23 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement
  Learning through Memory-driven Communication
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication
E. Pesce
Giovanni Montana
17
71
0
12 Jan 2019
Learning when to Communicate at Scale in Multiagent Cooperative and
  Competitive Tasks
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh
Tushar Jain
Sainbayar Sukhbaatar
17
239
0
23 Dec 2018
Learning to Communicate: A Machine Learning Framework for Heterogeneous
  Multi-Agent Robotic Systems
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems
Hyung-Jin Yoon
Huaiyu Chen
Kehan Long
Heling Zhang
Aditya Gahlawat
Donghwan Lee
N. Hovakimyan
21
6
0
13 Dec 2018
Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Long Chen
Hanwang Zhang
Jun Xiao
Xiangnan He
Shiliang Pu
Shih-Fu Chang
14
159
0
06 Dec 2018
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
H. F. Song
Edward Hughes
Neil Burch
Iain Dunning
Shimon Whiteson
M. Botvinick
Michael H. Bowling
14
148
0
04 Nov 2018
TarMAC: Targeted Multi-Agent Communication
TarMAC: Targeted Multi-Agent Communication
Abhishek Das
Théophile Gervet
Joshua Romoff
Dhruv Batra
Devi Parikh
Michael G. Rabbat
Joelle Pineau
19
378
0
26 Oct 2018
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
11
335
0
22 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
30
549
0
12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
6
736
0
05 Oct 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement
  Learning
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang
A. Nakhaei
David Isele
K. Fujimura
H. Zha
21
75
0
13 Sep 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: 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
19
1,653
0
30 Mar 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
K. Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
31
581
0
23 Feb 2018
Learning Parametric Closed-Loop Policies for Markov Potential Games
Learning Parametric Closed-Loop Policies for Markov Potential Games
Sergio Valcarcel Macua
Javier Zazo
S. Zazo
16
46
0
03 Feb 2018
Revisiting the Master-Slave Architecture in Multi-Agent Deep
  Reinforcement Learning
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning
Xiangyu Kong
Bo Xin
Fangchen Liu
Yizhou Wang
18
44
0
20 Dec 2017
Learning with Opponent-Learning Awareness
Learning with Opponent-Learning Awareness
Jakob N. Foerster
Richard Y. Chen
Maruan Al-Shedivat
Shimon Whiteson
Pieter Abbeel
Igor Mordatch
27
536
0
13 Sep 2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level
  Coordination in Learning to Play StarCraft Combat Games
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Peng Peng
Ying Wen
Yaodong Yang
Quan Yuan
Zhenkun Tang
Haitao Long
Jun Wang
13
333
0
29 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
109
595
0
28 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
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