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Heterogeneous Multi-Robot Reinforcement Learning

Heterogeneous Multi-Robot Reinforcement Learning

17 January 2023
Matteo Bettini
Ajay Shankar
Amanda Prorok
ArXivPDFHTML

Papers citing "Heterogeneous Multi-Robot Reinforcement Learning"

36 / 36 papers shown
Title
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
Shalin Jain
Jiazhen Liu
Siva Kailas
Harish Ravichandar
135
0
0
10 May 2025
Multi-Robot System for Cooperative Exploration in Unknown Environments: A Survey
Multi-Robot System for Cooperative Exploration in Unknown Environments: A Survey
Chuqi Wang
Chao Yu
Xin Xu
Yuman Gao
Xinyi Yang
...
ZhuoZhu Jian
Xinyu Chen
Fei Gao
Boyu Zhou
Yu Wang
71
0
0
10 Mar 2025
MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation
MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation
Toby Godfrey
William Hunt
Mohammad D. Soorati
105
1
0
18 Oct 2024
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots
Milad Farjadnasab
Shahin Sirouspour
66
0
0
08 Oct 2024
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Peihong Yu
Manav Mishra
Alec Koppel
Carl E. Busart
Priya Narayan
Dinesh Manocha
Amrit Singh Bedi
Pratap Tokekar
61
4
0
13 Mar 2024
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams
  (ASLaP-HR)
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR)
Matthew Malencia
Sandeep Manjanna
M. A. Hsieh
George Pappas
Vijay Kumar
112
8
0
11 Aug 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
49
39
0
07 Jul 2022
QGNN: Value Function Factorisation with Graph Neural Networks
QGNN: Value Function Factorisation with Graph Neural Networks
Ryan Kortvelesy
Amanda Prorok
47
15
0
25 May 2022
DiNNO: Distributed Neural Network Optimization for Multi-Robot
  Collaborative Learning
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning
Javier Yu
Joseph A. Vincent
Mac Schwager
109
38
0
17 Sep 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chengjie Wu
Qianchuan Zhao
Jun Yang
Chongjie Zhang
59
143
0
04 Jun 2021
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous
  Multi-Robot Systems
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems
Gennaro Notomista
Siddharth Mayya
Y. Emam
C. Kroninger
Addison W. Bohannon
S. Hutchinson
M. Egerstedt
36
57
0
12 May 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter
  Sharing
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos
Georgios Papoudakis
Arrasy Rahman
Stefano V. Albrecht
51
116
0
15 Feb 2021
Is Independent Learning All You Need in the StarCraft Multi-Agent
  Challenge?
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
Christian Schroeder de Witt
Tarun Gupta
Denys Makoviichuk
Viktor Makoviychuk
Philip Torr
Mingfei Sun
Shimon Whiteson
62
331
0
18 Nov 2020
Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams
  Using Robust Control Barrier Functions
Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions
Y. Emam
Gennaro Notomista
Paul Glotfelter
M. Egerstedt
29
11
0
02 Nov 2020
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment
  Mapping
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping
Ceyer Wakilpoor
Patrick J. Martin
Carrie Rebhuhn
Amanda Vu
26
22
0
06 Oct 2020
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
68
209
0
04 Oct 2020
Resilient Task Allocation in Heterogeneous Multi-Robot Systems
Resilient Task Allocation in Heterogeneous Multi-Robot Systems
Siddharth Mayya
Diego F. Salazar-DÁntonio
David Saldaña
Vijay Kumar
20
50
0
09 Sep 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement
  Learning
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
J. Blumenkamp
Amanda Prorok
AAML
AI4CE
48
59
0
06 Aug 2020
Natural Emergence of Heterogeneous Strategies in Artificially
  Intelligent Competitive Teams
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
A. Deka
Katia Sycara
AAML
100
32
0
06 Jul 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
147
692
0
18 Jun 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
86
218
0
18 Mar 2020
Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with
  Evolving and Unknown Robot Capabilities
Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities
Y. Emam
Siddharth Mayya
Gennaro Notomista
Addison W. Bohannon
M. Egerstedt
36
39
0
06 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
406
42,393
0
03 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
175
1,213
0
24 Nov 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
133
402
0
25 Jul 2019
An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot
  Systems
An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot Systems
Gennaro Notomista
Siddharth Mayya
S. Hutchinson
M. Egerstedt
41
58
0
20 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
85
950
0
11 Feb 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
230
7,638
0
01 Oct 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
131
1,671
0
30 Mar 2018
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone
  Racing
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing
R. Spica
Davide Falanga
E. Cristofalo
Eduardo Montijano
Davide Scaramuzza
Mac Schwager
46
120
0
08 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
448
19,006
0
20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
140
4,478
0
07 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
114
2,072
0
24 May 2017
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
212
1,146
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
149
1,607
0
21 May 2016
The Complexity of Decentralized Control of Markov Decision Processes
The Complexity of Decentralized Control of Markov Decision Processes
D. Bernstein
S. Zilberstein
N. Immerman
100
1,590
0
16 Jan 2013
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