Event-triggered control for multi-agent systems by Dimarogonas, Dimos V., Johansson, Karl H.

“…Event-driven strategies for multi-agent systems are motivated by the future use of embedded microprocessors with limited resources that will gather information and actuate the individual agent controller updates. …”
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Distributed Self-triggered Control for Multi-agent Systems by Dimarogonas, Dimos V., Frazzoli, Emilio, Johansson, Karl H.

“…In this paper we consider self-triggered control applied to a multi-agent system with an agreement objective. Each agent computes its next update time instance at the previous time. …”
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Market-based Risk Allocation for Multi-agent Systems by Ono, Masahiro, Williams, Brian Charles

“…We extend the concept of risk allocation to multi-agent systems by highlighting risk as a commodity that is traded in a computational market. …”
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Distributed event-triggered control strategies for multi-agent systems by Dimarogonas, Dimos V., Frazzoli, Emilio

“…Event-driven strategies for distributed multi-agent systems are motivated by the future use of embedded microprocessors with limited resources that will gather information and actuate the individual agent controller updates. …”
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Incremental synthesis of control policies for heterogeneous multi-agent systems with linear temporal logic specifications by Wongpiromsarn, Tichakorn, Ulusoy, Alphan, Belta, Calin, Frazzoli, Emilio, Rus, Daniela L.

“…We consider automatic synthesis of control policies for non-independent, heterogeneous multi-agent systems with the objective of maximizing the probability of satisfying a given specification. …”
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Building Grounded Abstractions for Artificial Intelligence Programming by Hearn, Robert A.

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Building Grounded Abstractions for Artificial Intelligence Programming by Hearn, Robert A.

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All learning is local: Multi-agent learning in global reward games by Chang, Yu-Han, Ho, Tracey, Kaelbling, Leslie P.

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Efficient Routing Algorithms for Multiple Vehicles With no Explicit Communications by Savla, Ketan, Frazzoli, Emilio, Arsie, Alessandro

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Interaction and Intelligent Behavior by Mataric, Maja J.

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Multi-robot active sensing of non-stationary Gaussian process-based environmental phenomena by Ouyang, Ruofei, Low, Kian Hsiang, Chen, Jie, Jaillet, Patrick

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Planning with Macro-Actions in Decentralized POMDPs by Amato, Christopher, Konidaris, George D., Kaelbling, Leslie P.

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Decentralized chance-constrained finite-horizon by Williams, Brian Charles, Ono, Masahiro

“…This paper considers finite-horizon optimal control for multi-agent systems subject to additive Gaussian-distributed stochastic disturbance and a chance constraint. …”
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Analysis of decentralized potential field based multi-agent navigation via primal-dual Lyapunov theory by Dimarogonas, Dimos V., Frazzoli, Emilio

“…We use a combination of primal and dual Lyapunov theory for almost global asymptotic stabilization and collision avoidance in multi-agent systems. Previous work provided local analysis around the critical points with the use of the dual Lyapunov technique. …”
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Reinforcement Learning by Policy Search by Peshkin, Leonid

“…We investigate controllers with memory, including controllers with external memory, finite state controllers and distributed controllers for multi-agent systems. For these various controllers we work out the details of the algorithms which learn by ascending the gradient of expected cumulative reinforcement. …”
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Cooperative robot control and concurrent synchronization of Lagrangian systems by Chung, Soon-Jo, Slotine, Jean-Jacques E.

“…This article presents a simple synchronization framework that can be directly applied to cooperative control of multi-agent systems and oscillation synchronization in robotic manipulation and teleoperation. …”
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Dynamically stable control of articulated crowds by Mukovskiy, Albert, Slotine, Jean-Jacques E., Giese, Martin A.

“…The resulting mathematical models have manageable mathematical complexity, allowing to study and design the dynamics of multi-agent systems. We introduce Contraction Theory as a tool to treat the stability properties of such highly nonlinear systems. …”
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Equitable partitioning policies for robotic networks by Frazzoli, Emilio, Pavone, Marco, Bullo, Francesco, Arsie, Alessandro

“…The most widely applied resource allocation strategy is to balance, or equalize, the total workload assigned to each resource. In mobile multi-agent systems, this principle directly leads to equitable partitioning policies in which (i) the workspace is divided into subregions of equal measure, (ii) there is a bijective correspondence between agents and subregions, and (iii) each agent is responsible for service requests originating within its own subregion. …”
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Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning by Geramifard, Alborz, Redding, Joshua, How, Jonathan P.

“…Planning for multi-agent systems such as task assignment for teams of limited-fuel unmanned aerial vehicles (UAVs) is challenging due to uncertainties in the assumed models and the very large size of the planning space. …”
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Advances in Supply Chain Management Decision Support Systems: Potential for Improving Decision Support Catalysed by Semantic Interoperability between Systems by Datta, Shoumen Palit Austin

“…It may evolve hand-in-hand with [a] the gradual adoption of the semantic web [2] with concomitant development of ontological frameworks, [b] increase in use of multi-agent systems and [c] advent of ubiquitous computing enabling near real-time access to identification of objects and analytics [4]. …”
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