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53
Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments
"... Multi-Agent Reinforcement Learning (MARL) is a widely used technique for optimization in decentralised control prob-lems. However, most applications of MARL are in static en-vironments, and are not suitable when agent behaviour and environment conditions are dynamic and uncertain. Address-ing uncert ..."
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Multi-Agent Reinforcement Learning (MARL) is a widely used technique for optimization in decentralised control prob-lems. However, most applications of MARL are in static en-vironments, and are not suitable when agent behaviour and environment conditions are dynamic and uncertain. Address-ing
Scalable Decentralised Decision Making and Optimisation in Heterogeneous Teams
"... Abstract — This paper considers the scenario where multiple autonomous agents must cooperate in making decisions to min-imise a common team cost function. A distributed optimisation algorithm is presented. This allows each agent to incrementally refine their decisions while intermittently receiving ..."
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updates from the team. A convergence analysis provides quantitative requirements on the frequency agents must communicate that is prescribed by the problem structure. For a general multi-agent system, this solution requires every agent to have a model of every other agent. To overcome this, a specific
Integration of Autonomous UAVs into Multi-agent Simulation
, 2012
"... Abstract. In the past several years Unmanned Aerial Ve-hicles (UAVs) have gained a lot of attention in both the re-search field and in the field of commercial deployment. Re-cently researchers started to study problems and possibili-ties connected with the usage, deployment and operation of teams of ..."
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Cited by 1 (1 self)
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of multiple autonomous UAVs. These multi-UAV sce-narios are from their nature well suited to be modelled and simulated as multi-agent systems. In this paper we present solutions to the problems that we had to deal with in the process of integration of two hard-ware UAVs into an existing multi-agent simulation
A MultiAgent Architecture for Distributed Course Timetabling
"... Abstract The course timetabling problem consists in scheduling a set of lectures in a cyclic fixed period of time, typically a week. We consider the course timetabling problem for a set of university departments, in which each department prepares the schedule for its curricula according to private r ..."
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Cited by 2 (0 self)
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multiagent architecture that makes use of a marketplace and an artificial currency. In this framework, each department has a team of three cooperating agents, which are responsible for different tasks: searching for a local solution, negotiating resources with other departments, and managing relevant
Sub-agent elements for control methods in multi-agent energy management system
"... The proposed multi-agent energy management system is aimed at controlling distributed generation and performing demand side management to provide robust and effective grid with lower emissions and costs. Furthermore, appropriate strategy used in combination with the multi-agent energy management sy ..."
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penetration of distributed micro-generation that will increase the complexity of the distribution network Recently developed multi-agent solutions are based on different types of agents. These include agents specific for control functions This structure would allow more than one entity of a grid
Implementing a Multi-Agent System in Python with an Auction-Based Agreement Approach
- In Louise
, 2012
"... Abstract. We describe the solution used by the Python-DTU team in the Multi-Agent Programming Contest 2011, where the scenario was called Agents on Mars. We present our auction-based agreement algo-rithm and discuss our chosen strategy and our choice of technology used for implementing the system. F ..."
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Cited by 1 (1 self)
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Abstract. We describe the solution used by the Python-DTU team in the Multi-Agent Programming Contest 2011, where the scenario was called Agents on Mars. We present our auction-based agreement algo-rithm and discuss our chosen strategy and our choice of technology used for implementing the system
Punctuated Anytime Learning for Evolving Multi-Agent Capture Strategies
- In Proceedings of the Congress on Evolutionary Computation
, 1992
"... Abstract- The evolution of a team of heterogeneous agents is challenging. To allow the greatest level of specialization team members must be evolved in separate populations, but finding acceptable partners for evaluation at trial time is difficult. Testing too few partners blinds the GA from recogni ..."
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Cited by 8 (1 self)
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Abstract- The evolution of a team of heterogeneous agents is challenging. To allow the greatest level of specialization team members must be evolved in separate populations, but finding acceptable partners for evaluation at trial time is difficult. Testing too few partners blinds the GA from
A Lego Mindstorms experimental setup for multi-agent systems
- In Proceedings of the IEEE Multi-conference on Systems and Control, Saint
, 2009
"... Abstract — This paper presents an experimental setup based on the LEGO Mindstorms technology, suitable for the val-idation of cooperative control strategies for multiple vehicle systems. Despite its low cost, the proposed setup features good scalability and is versatile enough to be adopted for test ..."
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Cited by 3 (0 self)
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for testing different solutions to a number of crucial problems arising in multi-agent systems, like formation control, motion coordina-tion, coverage problems, etc. At the same time, it represents a challenging testbed, presenting several issues that have to be faced in a real-world scenario
A DECENTRALISED APPROACH TO MULTI-ROBOT FORMATION INITIALISATION
"... This paper presents a novel solution to the formation initialisation problem, in which autonomous mobile robots must arrange themselves into a specific geometric configuration without centralised control, without explicit inter-agent communication, and using only information from local sensors which ..."
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enhancements within the satisficing framework across a collection of scenarios that differ in starting positions, target formations, number of agents involved, and the presence of static obstacles. The results suggest that satisficing is an attractive alternative for the synthesis of cooperative multi
A Multi-Agent Based Vehicles Re-routing System for Unexpected Traffic Congestion Avoidance
- IEEE ITSC 2014
"... Abstract—As urbanization has been spreading across the world for decades, the traffic congestion problem becomes increasingly serious in most of the major cities. Among the root causes of urban traffic congestion, en route events are the main source of the sudden increase of the road traffic load, e ..."
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Cited by 2 (0 self)
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enough if an unexpected congestion occurs. Moreover, using the same alternative routes may lead to new bottlenecks that cannot be avoided. Thus a global traffic load balance cannot be achieved. To deal with these problems, we propose a Multi Agent System (MAS) that can achieve a trade-off between
Results 1 - 10
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53
