Filters








7,000 Hits in 6.1 sec

A Novel Hierarchical Soft Actor-Critic Algorithm for Multi-logistics Robots Task Allocation

Hengliang Tang, Anqi Wang, Fei Xue, JiaXin Yang, Yang Cao
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
INDEX TERMS Multi-logistics robot, task allocation, deep reinforcement learning, actor-critic, hierarchical reinforcement learning. 42568 This work is licensed under a Creative Commons Attribution 4.0  ...  In intelligent unmanned warehouse goods-to-man systems, the allocation of tasks has an important influence on the efficiency because of the dynamic performance of AGV robots and orders.  ...  This paper aims to provide a task allocation method with the deep reinforcement learning algorithm for the multilogistic robot system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3062457">doi:10.1109/access.2021.3062457</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jp56ztya7vckxdp6jhnt6fbxwe">fatcat:jp56ztya7vckxdp6jhnt6fbxwe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717205550/https://ieeexplore.ieee.org/ielx7/6287639/9312710/09363881.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/51/79/5179885f15b7cc74081c7a11633d6fe07fff2ba1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3062457"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Multiple Mobile Robot Systems [chapter]

Lynne E. Parker
<span title="">2008</span> <i title="Springer Berlin Heidelberg"> Springer Handbook of Robotics </i> &nbsp;
The multi-robot learning problem is particularly challenging because it combines the difficulties of singlerobot learning with multi-agent learning.  ...  [84] apply a reinforcement learning algorithm that combines supervised function approximation with generalization methods based on state space discretization, and apply it to robots learning the multi-object  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-30301-5_41">doi:10.1007/978-3-540-30301-5_41</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v3yo5joepja2lketepmahupkfm">fatcat:v3yo5joepja2lketepmahupkfm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150616073549/http://web.eecs.utk.edu:80/~leparker/publications/40_chapter.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/79/7a/797ae3eb69b510985563d50df935be2cc721320f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-30301-5_41"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Reinforcement Learning in Dynamic Task Scheduling: A Review

Chathurangi Shyalika, Thushari Silva, Asoka Karunananda
<span title="2020-09-24">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yzo2wjv2bbh2zo3zo5p7scalee" style="color: black;">SN Computer Science</a> </i> &nbsp;
This review paper is about a research study that focused on Reinforcement Learning techniques that have been used for dynamic task scheduling.  ...  The term is applied separately for tasks and resources correspondingly in task scheduling and resource allocation. Scheduling is a popular topic in operational management and computer science.  ...  Thushari Silva and Professor Asoka Karunananda for their massive guidance and commitment throughout the research. Funding The funding is handled by the Authors itself.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42979-020-00326-5">doi:10.1007/s42979-020-00326-5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/egp6vgpetbcwdasm45vunmo3n4">fatcat:egp6vgpetbcwdasm45vunmo3n4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108024855/https://link.springer.com/content/pdf/10.1007/s42979-020-00326-5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/9b/a79b9deb53bb57cdd07dd92b908094c3d4ef72a4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42979-020-00326-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An extensive review of research in swarm robotics

Yogeswaran Mohan, S. G. Ponnambalam
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/46xfpzcnbfeu3a35zcjlbnltae" style="color: black;">2009 World Congress on Nature &amp; Biologically Inspired Computing (NaBIC)</a> </i> &nbsp;
Swarm robotics is a new approach to the coordination of multi-robot systems which consist of large numbers of relatively simple robots which takes its inspiration from social insects.  ...  The most remarkable characteristic of swarm robots are the ability to work cooperatively to achieve a common goal.  ...  Task Allocation Task allocation means assigning tasks among the robots in swarm in a productive and efficient manner.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/nabic.2009.5393617">doi:10.1109/nabic.2009.5393617</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/nabic/MohanP09.html">dblp:conf/nabic/MohanP09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/medj3oewxjag7g4qpwnquqszwa">fatcat:medj3oewxjag7g4qpwnquqszwa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722230023/https://digilabor.ut.ee/images/d/db/Review.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/b3/96b3dfc7516f437821e44838d5f3bcd236ee205d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/nabic.2009.5393617"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Towards Multi Robot Task Allocation and Navigation using Deep Reinforcement Learning

A Elfakharany, R Yusof, Z Ismail
<span title="">2020</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wxgp7pobnrfetfizidmpebi4qy" style="color: black;">Journal of Physics, Conference Series</a> </i> &nbsp;
Most systems treat Multi Robot Task Allocation (MRTA) and Multi Robot Path Planning (MRPP) as two separate steps each with its own set of algorithms in which the MRTA algorithm assigns each robot to a  ...  In this paper, we present a method that combines both steps by using a deep reinforcement learning model.  ...  The authors would like to express gratitude to Malaysia-Japan Institute of Technology, Universiti Teknologi Malaysia for funding this research under vote number R.K130000.7343.4B317.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1742-6596/1447/1/012045">doi:10.1088/1742-6596/1447/1/012045</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fzizzdzyafesbobnvo2hbrav54">fatcat:fzizzdzyafesbobnvo2hbrav54</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200131084816/https://iopscience.iop.org/article/10.1088/1742-6596/1447/1/012045/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/57/3d5789a65e1a33e523d16ded71a337e2d2c228b6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1742-6596/1447/1/012045"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> iop.org </button> </a>

Mission planning in unstructured environments: A reinforcement learning approach

Brandon Basso, Hugh Durrant-Whyte, J. Karl Hedrick
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wjd7b2sxyfahnaei4xvi46vwsu" style="color: black;">IEEE Conference on Decision and Control and European Control Conference</a> </i> &nbsp;
Mission planning scenarios in robotics typically involve one or more semi-autonomous agents and a human operator. The high-level goal is to find an optimal allocation of agents to tasks.  ...  The learned policy is shown to reliably allocate agents to tasks with minimal parameter tuning and is robust to low-level changes to agent dynamics as well as random agent motion.  ...  Results from learning a policy in a multi-agent, multi-task mission planning scenario are presented in Section VI. Conclusions follow in Section VII. II.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cdc.2011.6160834">doi:10.1109/cdc.2011.6160834</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cdc/BassoDH11.html">dblp:conf/cdc/BassoDH11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wbyg4ysq2reebdmoyazex3jgau">fatcat:wbyg4ysq2reebdmoyazex3jgau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808211406/http://folk.ntnu.no/skoge/prost/proceedings/cdc-ecc-2011/data/papers/1152.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/40/c9/40c96e1a236089b929bb0d83069b54bdf5fb2eb9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cdc.2011.6160834"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Guest editorial: special issue on multi-robot and multi-agent systems

Nora Ayanian, Paolo Robuffo Giordano, Robert Fitch, Antonio Franchi, Lorenzo Sabattini
<span title="2020-02-19">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jmjdfeig5rayzgfuauvumileza" style="color: black;">Autonomous Robots</a> </i> &nbsp;
This special issue presents contributions that describe state-of-the-art results in distributed robotics and multi-agent systems research as applicable to autonomous robot systems.  ...  In the same way that computers have revolutionized the way we deal with information, robotics will enable a similar revolution in the way we operate in the real world.  ...  in large environments in their paper "Hierarchical reinforcement learning via dynamic subspace search for multi-agent planning."  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10514-020-09908-x">doi:10.1007/s10514-020-09908-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ty4zagmoa5bolojtkwg3gekenm">fatcat:ty4zagmoa5bolojtkwg3gekenm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505031927/https://link.springer.com/content/pdf/10.1007/s10514-020-09908-x.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9d/24/9d2474d234e1f4f00f13d069c0088313eae6aa14.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10514-020-09908-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Survey and Analysis of Multi-Robot Coordination

Zhi Yan, Nicolas Jouandeau, Arab Ali Cherif
<span title="">2013</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dlo33cxbtffljkmrdnlsbqmlcq" style="color: black;">International Journal of Advanced Robotic Systems</a> </i> &nbsp;
In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown significantly in size and importance in recent years.  ...  Having made great progress in the development of the basic problems concerning single-robot control, many researchers shifted their focus to the study of multi-robot coordination.  ...  Wang and Silva [151] employed two types of multi-agent reinforcement learning algorithms, singleagent Q-learning and team Q-learning, for a multi-robot box-pushing task.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/57313">doi:10.5772/57313</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lj4hv3wxqrdmfc4mzph76q76qq">fatcat:lj4hv3wxqrdmfc4mzph76q76qq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811104312/http://cdn.intechopen.com/pdfs-wm/45921.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ae/be/aebe347ceb6029644a107c33397fef093448fa6c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/57313"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Cooperative Multi-Robot Task Allocation with Reinforcement Learning

Bumjin Park, Cheongwoong Kang, Jaesik Choi
<span title="2021-12-28">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
To tackle this problem, a novel Markov decision process formulation for multi-robot task allocation is presented for reinforcement learning.  ...  This paper deals with the concept of multi-robot task allocation, referring to the assignment of multiple robots to tasks such that an objective function is maximized.  ...  Reinforcement Learning (RL) has also progressed rapidly with deep learning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12010272">doi:10.3390/app12010272</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rkvn2yzpqjht7hurgup77hhc64">fatcat:rkvn2yzpqjht7hurgup77hhc64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220203222129/https://mdpi-res.com/d_attachment/applsci/applsci-12-00272/article_deploy/applsci-12-00272.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9c/8c/9c8cb116533933222e8f2698df6b2c36d2fbacfb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12010272"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Multi-agent role allocation: issues, approaches, and multiple perspectives

Adam Campbell, Annie S. Wu
<span title="2010-04-13">2010</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7rdrzlhoxjb5ho2u76erh6zpni" style="color: black;">Autonomous Agents and Multi-Agent Systems</a> </i> &nbsp;
defined roles, gives a survey of the methods used to approach role allocation problems, and concludes with a list of open research questions related to roles in multi-agent systems.  ...  Along with a discussion of these issues about roles in multi-agent systems, this article compares computational models of the role allocation problem, presents the notion of explicitly versus implicitly  ...  For example, Martinson and Arkin use reinforcement learning to learn the role switching policies for a team of robots cooperating on a military mission [104] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10458-010-9127-4">doi:10.1007/s10458-010-9127-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sc2ekjmur5aftjwwpp3wjvxb6q">fatcat:sc2ekjmur5aftjwwpp3wjvxb6q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110401190012/http://www.campbellssite.com/papers/JAAMAS_1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/10/4510d0b66f1677017094ae0c1ee4192f41d9fbca.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10458-010-9127-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Plugin Framework-Based Neuro-Symbolic Grounded Task Planning for Multi-Agent System

Jiyoun Moon
<span title="2021-11-26">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
As the roles of robots continue to expand in general, there is an increasing demand for research on automated task planning for a multi-agent system that can independently execute tasks in a wide and dynamic  ...  The symbolic approach for understanding and learning human knowledge is useful for task planning in a wide and static environment.  ...  In particular, a great number of researchers are focusing on reinforcement learning methods for complicated multi-agent systems rather than a single robot [40] [41] [42] . Wang et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21237896">doi:10.3390/s21237896</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34883897">pmid:34883897</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d2rnltk7hjhdnfy2lrrw5rnaku">fatcat:d2rnltk7hjhdnfy2lrrw5rnaku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220426104750/https://mdpi-res.com/d_attachment/sensors/sensors-21-07896/article_deploy/sensors-21-07896-v2.pdf?version=1638258668" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/af/98/af98f2b9b27d38d55abc5ac2ab2b3bde51607c38.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21237896"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards [article]

Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang
<span title="2021-08-16">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In particular, we propose two improved multi-agent reinforcement learning algorithms, MADDPG-IPF (Information Potential Field) and BiCNet-IPF, to realize the coordination among AGVs adapting to different  ...  Efficient AGVs task allocation strategy can reduce transportation costs and improve distribution efficiency.  ...  Decentralized multi-AGV task allocation can be viewed as a special mobile robot moving path planning problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.06886v1">arXiv:2108.06886v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ldu7xvqkfjej7mrezgjjsdus7a">fatcat:ldu7xvqkfjej7mrezgjjsdus7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210820125228/https://arxiv.org/pdf/2108.06886v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/46/cd46a80ce754dfa497e46477f9589e81b9ac9df4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.06886v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Plan-based reward shaping for multi-agent reinforcement learning

Sam Devlin, Daniel Kudenko
<span title="">2016</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ppliiwuwhjhjzdhxr5qnaaqsyi" style="color: black;">Knowledge engineering review (Print)</a> </i> &nbsp;
reinforcement learning.  ...  AbstractRecent theoretical results have justified the use of potential-based reward shaping as a way to improve the performance of multi-agent reinforcement learning (MARL).  ...  This was expected with the joint-plan agents as the plans received take into account the third agent and coordinate task allocation prior to learning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s0269888915000181">doi:10.1017/s0269888915000181</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4e3duxqa6bhu3njmo75fapdxcm">fatcat:4e3duxqa6bhu3njmo75fapdxcm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829153405/https://ai.vub.ac.be/ALA2012/downloads/paper4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4f/f8/4ff88b4a56fd3f25a57049dfd80d3fe78452e841.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s0269888915000181"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

Research Progress on Synergistic Technologies of Agricultural Multi-Robots

Wenju Mao, Zhijie Liu, Heng Liu, Fuzeng Yang, Meirong Wang
<span title="2021-02-05">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
While synergistic technologies of agricultural multi-robots are extremely challenging in production, in combination with previous research results for real agricultural multi-robots and social development  ...  multi-robots in recent years, namely, environment perception, task allocation, path planning, formation control, and communication, and summarizes the technological progress and development characteristics  ...  We also thank the critical comments and suggestions from the anonymous reviewers for improving the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11041448">doi:10.3390/app11041448</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sk5eu5j62vg6rkys62qhxzhphq">fatcat:sk5eu5j62vg6rkys62qhxzhphq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210209190630/https://res.mdpi.com/d_attachment/applsci/applsci-11-01448/article_deploy/applsci-11-01448-v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/30/22/30228f23e814d7ce6240f76135f8d7fc2308b238.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11041448"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Imitation learning for task allocation

Felix Duvallet, Anthony Stentz
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dmucnarmarh2fj6syg5jyqs7ny" style="color: black;">2010 IEEE/RSJ International Conference on Intelligent Robots and Systems</a> </i> &nbsp;
We propose to harness the expert's intuition by applying imitation learning to the multi-robot task allocation domain.  ...  At the heart of multi-robot task allocation lies the ability to compare multiple options in order to select the best.  ...  The authors gratefully acknowledge Chris Skonieczny for his contributions to the disaster response scenario.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iros.2010.5650006">doi:10.1109/iros.2010.5650006</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iros/DuvalletS10.html">dblp:conf/iros/DuvalletS10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mkhzufttz5fhpaagjpgwtor7ei">fatcat:mkhzufttz5fhpaagjpgwtor7ei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150929102846/http://www.cs.cmu.edu/~fduvalle/pubs/2010-imitation_task_alloc-IROS.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9a/3e/9a3efb65a14a36e10b9c2c64c4d9635e325c6021.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iros.2010.5650006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 7,000 results