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2103.03662
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MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models
5 March 2021
Daniel Willemsen
M. Coppola
Guido de Croon
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Papers citing
"MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models"
17 / 17 papers shown
Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDL
AI4CE
42
0
0
12 May 2025
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Yang Zhang
Chenjia Bai
Bin Zhao
Junchi Yan
Xiu Li
Xuelong Li
OffRL
27
0
0
22 Jun 2024
CoDreamer: Communication-Based Decentralised World Models
Edan Toledo
Amanda Prorok
43
0
0
19 Jun 2024
Efficient Multi-agent Reinforcement Learning by Planning
Qihan Liu
Jianing Ye
Xiaoteng Ma
Jun Yang
Bin Liang
Chongjie Zhang
29
4
0
20 May 2024
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
Yanwen Ba
Xuan Liu
Xinning Chen
Hao Wang
Yang Xu
Kenli Li
Shigeng Zhang
28
2
0
19 Dec 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Paul Barde
Jakob N. Foerster
Derek Nowrouzezahrai
Amy Zhang
OffRL
25
8
0
26 May 2023
Formal Modelling for Multi-Robot Systems Under Uncertainty
Charlie Street
Masoumeh Mansouri
Bruno Lacerda
31
0
0
26 May 2023
Co-Learning Empirical Games and World Models
Max O. Smith
Michael P. Wellman
16
2
0
23 May 2023
An Algorithm For Adversary Aware Decentralized Networked MARL
Soumajyoti Sarkar
AAML
11
1
0
09 May 2023
Model-Based Decentralized Policy Optimization
Hao Luo
Jiechuan Jiang
Zongqing Lu
24
0
0
16 Feb 2023
Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport
Kazuki Shibata
Tomohiko Jimbo
Takamitsu Matsubara
9
11
0
05 Dec 2022
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
Elie Aljalbout
Maximilian Karl
Patrick van der Smagt
26
5
0
28 Nov 2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
Pedro P. Santos
Diogo S. Carvalho
Miguel Vasco
Alberto Sardinha
Pedro A. Santos
Ana Paiva
Francisco S. Melo
21
1
0
12 Oct 2022
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
Xihuai Wang
Zhicheng Zhang
Weinan Zhang
18
25
0
20 Mar 2022
Model-Based Opponent Modeling
Xiaopeng Yu
Jiechuan Jiang
Wanpeng Zhang
Haobin Jiang
Zongqing Lu
OffRL
32
28
0
04 Aug 2021
Centralized Model and Exploration Policy for Multi-Agent RL
Qizhen Zhang
Chris Xiaoxuan Lu
Animesh Garg
Jakob N. Foerster
16
15
0
14 Jul 2021
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning
Ramzi Ourari
Kai Cui
Ahmed Elshamanhory
Heinz Koeppl
19
9
0
30 Apr 2021
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