ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.07246
  4. Cited By
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with
  Dual Coordination Mechanism

HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism

14 October 2021
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
ArXivPDFHTML

Papers citing "HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism"

14 / 14 papers shown
Title
Variational Offline Multi-agent Skill Discovery
Variational Offline Multi-agent Skill Discovery
Jiayu Chen
Bhargav Ganguly
Tian-Shing Lan
OffRL
86
3
0
26 May 2024
Advances in Embodied Navigation Using Large Language Models: A Survey
Advances in Embodied Navigation Using Large Language Models: A Survey
Jinzhou Lin
Han Gao
Xuxiang Feng
Rongtao Xu
Changwei Wang
Man Zhang
Li Guo
Shibiao Xu
LM&Ro
LLMAG
95
9
0
01 Nov 2023
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
170
82
0
16 Jan 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
64
204
0
04 Oct 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang
Zhizhou Ren
Terry Liu
Yang Yu
Chongjie Zhang
OffRL
90
443
0
03 Aug 2020
Value-Decomposition Multi-Agent Actor-Critics
Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su
Stephen C. Adams
Peter A. Beling
85
102
0
24 Jul 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
158
358
0
16 Oct 2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary
  Rewards
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Siyuan Li
Rui Wang
Minxue Tang
Chongjie Zhang
41
82
0
10 Oct 2019
Google Research Football: A Novel Reinforcement Learning Environment
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
...
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
123
398
0
25 Jul 2019
Towards Characterizing Divergence in Deep Q-Learning
Towards Characterizing Divergence in Deep Q-Learning
Joshua Achiam
Ethan Knight
Pieter Abbeel
43
96
0
21 Mar 2019
The StarCraft Multi-Agent Challenge
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip Torr
Jakob N. Foerster
Shimon Whiteson
74
941
0
11 Feb 2019
Learning Representations in Model-Free Hierarchical Reinforcement
  Learning
Learning Representations in Model-Free Hierarchical Reinforcement Learning
J. Rafati
D. Noelle
30
45
0
23 Oct 2018
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
145
1,139
0
25 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
118
1,600
0
21 May 2016
1