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Emergent Incident Response for Unmanned Warehouses with Multi-agent
  Systems*

Emergent Incident Response for Unmanned Warehouses with Multi-agent Systems*

29 May 2023
Yibo Guo
Mingxin Li
Jingting Zong
Mingliang Xu
ArXiv (abs)PDFHTML

Papers citing "Emergent Incident Response for Unmanned Warehouses with Multi-agent Systems*"

13 / 13 papers shown
Title
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural
  Networks
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge
Bryan Hooi
See Kiong Ng
Wee Siong Ng
55
110
0
10 Dec 2021
Multi-Agent Constrained Policy Optimisation
Multi-Agent Constrained Policy Optimisation
Shangding Gu
J. Kuba
Munning Wen
Ruiqing Chen
Ziyan Wang
Zheng Tian
Jun Wang
Alois Knoll
Yaodong Yang
131
49
0
06 Oct 2021
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous
  Action Spaces
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
Ziyad Sheebaelhamd
Konstantinos Zisis
Athina Nisioti
Dimitris Gkouletsos
Dario Pavllo
Jonas Köhler
AI4CE
46
16
0
09 Aug 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng
Bryan Hooi
AI4TS
68
878
0
13 Jun 2021
Hierarchical Planning for Resource Allocation in Emergency Response
  Systems
Hierarchical Planning for Resource Allocation in Emergency Response Systems
Geoffrey Pettet
Ayan Mukhopadhyay
Mykel Kochenderfer
A. Dubey
47
19
0
24 Dec 2020
UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for
  Aerial Surveillance
UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance
Ilker Bozcan
Erdal Kayacan
75
27
0
05 Nov 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
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
105
814
0
19 Mar 2020
Mapping Instructions to Actions in 3D Environments with Visual Goal
  Prediction
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
Dipendra Kumar Misra
Andrew Bennett
Valts Blukis
Eyvind Niklasson
Max Shatkhin
Yoav Artzi
LM&Ro
77
188
0
04 Sep 2018
Reward Constrained Policy Optimization
Reward Constrained Policy Optimization
Chen Tessler
D. Mankowitz
Shie Mannor
83
541
0
28 May 2018
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
120
1,328
0
30 May 2017
Molecular De Novo Design through Deep Reinforcement Learning
Molecular De Novo Design through Deep Reinforcement Learning
Marcus Olivecrona
T. Blaschke
Ola Engkvist
Hongming Chen
BDL
128
1,016
0
25 Apr 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement
  Learning
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta
Coline Devin
YuXuan Liu
Pieter Abbeel
Sergey Levine
91
269
0
08 Mar 2017
Sequence to Sequence -- Video to Text
Sequence to Sequence -- Video to Text
Subhashini Venugopalan
Marcus Rohrbach
Jeff Donahue
Raymond J. Mooney
Trevor Darrell
Kate Saenko
142
1,419
0
03 May 2015
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