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NoStop: An Open Source Framework for Design and Test of Coordination Protocol for Asymmetric Threats Protection in Marine Environment [chapter]

Simone Nardi, Lucia Pallottino
2016 Lecture Notes in Computer Science  
It has been designed as a framework to design and test multi-agent collaborative algorithms in terms of performance and robustness.  ...  Moreover, NoStop is designed to validate robustness of coordination protocol through the use of a remote pilot that control the intruder motion to escape from the guards that monitor the area and accomplish  ...  In the end, guards perform the motion towards target configurations based on their own control laws.  ... 
doi:10.1007/978-3-319-47605-6_14 fatcat:qsavsmynrrf5hl44b4y55j65s4

Ad Hoc Teamwork in the Presence of Adversaries [article]

Ted Fujimoto, Samrat Chatterjee, Auroop Ganguly
2022 arXiv   pre-print
We then propose some directions for new research opportunities in ad hoc teamwork that leads to more robust multi-agent cyber-physical infrastructure systems.  ...  Advances in ad hoc teamwork have the potential to create agents that collaborate robustly in real-world applications.  ...  This foundation needs to account for the "openness" of the environment, which models how new agents enter the group.  ... 
arXiv:2208.05071v1 fatcat:6n75x5o4ovauzkzjz77jsllc6e

Automatic Curriculum Learning For Deep RL: A Short Survey [article]

Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
2020 arXiv   pre-print
Automatic Curriculum Learning (ACL) has become a cornerstone of recent successes in Deep Reinforcement Learning (DRL).These methods shape the learning trajectories of agents by challenging them with tasks  ...  In recent years, they have been used to improve sample efficiency and asymptotic performance, to organize exploration, to encourage generalization or to solve sparse reward problems, among others.  ...  Continual Learning trains agents to be robust to unforeseen changes in the environment while ACL assumes agents to stay in control of learning scenarios [Lesort et al., 2019] .  ... 
arXiv:2003.04664v2 fatcat:lhire3htmnenfetx2ry4furgyy

Page 555 of Biological Reviews Vol. 89, Issue 3 [page]

2014 Biological Reviews  
constant flux and open to body and environment dynamics (dashed lines in Fig. 4C).  ...  Adaptation in Di Paolo’s (2000) experiments emphasized the stability of the internal milieu towards perturbation, but left open discussions on the mechanism that drives adaptation in more complex models  ... 

Collective Decision Making under Incomplete Knowledge: Possible and Necessary Solutions

Jérôme Lang
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
Voting rules can be 'modalized' this way (leading to the notions of possible and necessary winners), and also efficiency and fairness notions in fair division, stability concepts in coalition formation  ...  Most solution concepts in collective decision making are defined assuming complete knowledge of individuals' preferences and of the mechanism used for aggregating them.  ...  Continual Learning trains agents to be robust to unforeseen changes in the environment while ACL assumes agents to stay in control of learning scenarios [Lesort et al., 2019] .  ... 
doi:10.24963/ijcai.2020/671 dblp:conf/ijcai/PortelasCWHO20 fatcat:nqkxitg6yzbzvor2c3bi6rib5q

Robustness as a non-localizable relational phenomenon

Jose A. Fernandez-Leon
2013 Biological Reviews  
constant flux and open to body and environment dynamics (dashed lines in Fig. 4C).  ...  robustness often depends on the agentenvironment coupling; (d) for certain kinds of systems, robustness strongly depends on the agentenvironment coupling; (e) robustness is understood better in the  ... 
doi:10.1111/brv.12067 pmid:25165799 fatcat:qjrg7qt3yre7jb5ruisvxqx5pa

Guest Editorial

Paul Valckenaers
2008 Engineering applications of artificial intelligence  
., titled "Towards robust and efficient planning execution," presents an autonomic schedule execution mechanism.  ...  It combines the advantage of planning with the robustness of decentralized execution control.  ...  In an open environment, industry needs a technology to discover production processes to match those against the requirements of the products (without much human assistance).  ... 
doi:10.1016/j.engappai.2008.03.001 fatcat:2nwvisz4lne7lhp3yagkiwpdjq

Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments

Tom Haider, Felippe Schmoeller Roza, Dirk Eilers, Karsten Roscher, Stephan Günnemann
2021 International Joint Conference on Artificial Intelligence  
In this work, we provide an overview of approaches towards the more general problem of dealing with disturbances to the environment of RL agents and show how they struggle to provide clear boundaries when  ...  To mitigate this, we propose to formalize the changes in the environment in terms of the Markov Decision Process (MDP), resulting in a more formal framework when dealing with such problems.  ...  Maximum entropy rl (provably) solves some robust rl problems. arXiv preprint arXiv: 2103 .06257, 2021 . [Ganin et al., 2016] ]  ... 
dblp:conf/ijcai/HaiderRERG21 fatcat:436wiu6kibadlidrncpgabxhlm

MAS Infrastructure Definitions, Needs, and Prospects [chapter]

Les Gasser
2001 Lecture Notes in Computer Science  
Second, it presents my current thinking on the socio-technical content of the needed infrastructure in four different corners of the multi-agent systems world: science, education, application, and use.  ...  of multi-agent systems as a universal technology and solution.  ...  , Jun Wang, and others in the UIUC WEDAM and Agents and Multi-Agent Systems (AMAG) research groups.  ... 
doi:10.1007/3-540-47772-1_1 fatcat:4vbraediffc6ffd6orzmmsldu4

Summary Report On Live Demos And Videos With Results

Andrea Bisoffi
2017 Zenodo  
Within this deliverable, reports on the results of Live Demos showcasing the AEROWORKS robotic team potential towards autonomous infrastructure inspection and maintenance operations will be provided.  ...  Special care will be taken in outlining the feedback from the end-users during the most important public demonstrations, while video results will be available to emphasize the achieved capabilities.  ...  Experiments show that the controller can effectively transport a load using two different agents, with two different manipulation capabilities, to perform the task and still be robust to external unmodeled  ... 
doi:10.5281/zenodo.1063472 fatcat:yuqpv36aojhibkpocvqcrf6kbu

Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures [article]

Filipe Rodrigues, Carlos Lima Azevedo
2019 arXiv   pre-print
In this paper, we develop an open-source callback-based framework for promoting the flexible evaluation of different deep RL configurations under a traffic simulation environment.  ...  However, in order to be reliable in highly dynamic urban areas, such controllers need to be robust with the respect to a series of exogenous sources of uncertainty.  ...  Despite providing an important step towards the development of robust RL-based controllers, this paper also leaves several research questions open for future work.  ... 
arXiv:1904.08353v2 fatcat:xbtqk62nbrfifbd2fqyvuhqkza

Behavioral robustness and the distributed mechanisms hypothesis: lessons from bio-inspired and theoretical biology

Jose A. Fernandez-Leon
2011 Ciencia y Tecnología  
Experimental results indicate that neural controls are not sufficient to generate robust behavior in each case, suggesting the absence of internal control 'ensuring' robustness.  ...  The general problem of how dynamical coupling between internal control (brain), body, and environment are exploited in the generation of behavior is particularly analyzed.  ...  Results in addition show that agents sensing the environment directly (in the absence of sensory offsets) in a noiseless environment evolve controllers that were highly independent to sensory stimuli,  ... 
doi:10.18682/cyt.v1i11.752 fatcat:ck2pan47ebgohihqzu42adttpu

Insect Inspired Visual Control of Translatory Flight [chapter]

Titus R. Neumann, Heinrich H. Bülthoff
2001 Lecture Notes in Computer Science  
We present a biologically inspired, minimalistic model for visual flight control in an autonomous agent.  ...  Flying insects use highly efficient visual strategies to control their self-motion in three-dimensional space.  ...  open environments.  ... 
doi:10.1007/3-540-44811-x_71 fatcat:7iduu6e47jduvh35qq5cxxlnse

Suitability assessment framework of agent-based software architectures

Ghassan Beydoun, Graham Low, Paul Bogg
2013 Information and Software Technology  
Context: A common distributed intelligent system architecture is Multi Agent Systems (MASs).  ...  Abstract-Context: A common distributed intelligent system architecture is Multi Agent Systems (MAS).  ...  control is robust in operation because it adapts to the loss of sensors. 9.  ... 
doi:10.1016/j.infsof.2012.10.007 fatcat:ozlwkr2zr5gyrdtfodsodkvyda

Scalable and Robust Shepherding via Deformable Shapes [chapter]

Joseph F. Harrison, Christopher Vo, Jyh-Ming Lien
2010 Lecture Notes in Computer Science  
However, the problem is challenging in terms of scalability and robustness because it is dynamic, highly underactuated, and involves multi-agent coordination.  ...  In this paper, we present a new motion planning strategy for shepherding in environments containing obstacles.  ...  Experimental Results: Robustness We define robustness as the ability for the shepherds to control the flock in spite of unpredictable flock behavior.  ... 
doi:10.1007/978-3-642-16958-8_21 fatcat:rnoih5bu6jhrbjo7dflu6cefdu
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