Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 79 for “"multiagent"”.
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Commitment-Based Multiagent Decision Making
… the agents with one another and represents multiagent interactions. Commitments can characterize-from an external viewpoint-not only the interactions between the agents, but also the overall multiagent system behavior. Commitments are a good basis for publicly describing and monitoring the …
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Multiagent planning with Bayesian nonparametric asymptotics
Autonomous multiagent systems are beginning to see use in complex, changing environments that cannot be completely specified a priori. In order to be adaptive to these environments and avoid the fragility associated with making too many a priori assumptions, autonomous systems must incorporate some …
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Robust Distributed Stabilization of Interconnected Multiagent Systems
… multi-vehicle systems, as well as interconnected multiagent systems, power systems and biological networks as a few examples. Due to the high-dimension and complexity in configuration of these infrastructures, only a few internal variables of each agent might be measurable and the exact knowledge …
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Agreement, Information and Time in Multiagent Systems
This dissertation studies multiagent agreement problems -- problems in which a population of agents must agree on some quantity or behavior in a distributed manner. Agreement problems are central in many areas, from the study of magnetism (Ising model), to understanding the diffusion of innovations …
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Effective Learning in Non-Stationary Multiagent Environments
Multiagent reinforcement learning (MARL) provides a principled framework for a group of artificial intelligence agents to learn collaborative and/or competitive behaviors at the level of human experts. Multiagent learning settings inherently solve much more complex problems than single-agent …
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Neural MMO: Massively Multiagent Simulation and Learning
Neural MMO is a massively multi-agent environment for reinforcement learning research. It is designed to push the boundaries of environment complexity while maintaining computationally efficiency for academic research. Agents in Neural MMO can forage for a variety of resources, engage in strategic …
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Aprenentatge per reforç multiagent en un entorn virtual
En aquest treball de l'àmbit de la intel·ligència artificial, concretament de la branca de l'aprenentatge automàtic, estudiem l'aplicació d'aprenentatge per reforç en un entorn virtual amb diversos agents que completen una tasca competitiva.
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Sistema multiagent per a la classificació de dades
Aquest programari enmarca diversos algorimes supervisats, que extreuen informació de varis fitxers, i diversos agents classificadors que la transporten a un agent Manager. Finalment, aquest agent Manager computa tota aquesta informació rebuda per predir diferents valors de diverses instàncies …
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Decentralized Multiagent Trajectory Planning in Real-World Environments
… of unmanned aerial vehicle (UAV) applications, multiagent trajectory planning plays an indispensable role. The applications encompass search and rescue missions, surveillance, package delivery, and more. Each of these scenarios necessitates intricate coordination amongst multiple UAVs, driving …
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Local multiagent control in large factored planning Problems
… to quickly and effective solutions in such multiagent systems (MASs) forms an important prerequisite for enabling applications that require flexibility to changes in tasks or availability of agents. his thesis contributes to the understanding and efficient exploitation of locality for the …
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Decentralized teaching and learning in cooperative multiagent systems
Cooperative multiagent decision making is a ubiquitous problem with many real-world applications, including organization of driverless car fleets [1, 2], target surveillance [3], and warehouse automation [4-6]. The unifying challenge in these real-world settings is the presence of domain …
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The Neural MMO Platform for Massively Multiagent Research
Neural MMO is a computationally accessible research platform that combines large agent populations, long time horizons, open-ended tasks, and modular game systems. Existing environments feature subsets of these properties, but Neural MMO is the first to combine them all. We present Neural MMO as …
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Robust and Scalable Multiagent Reinforcement Learning in Adversarial Scenarios
Multiagent decision-making is a ubiquitous problem with many real-world applications, such as autonomous driving, multi-player video games, and robot team sports. Key challenges of multiagent learning include the presence of uncertainty in the other agent’s behaviors and the curse of dimensionality …
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Trajectory Planning for Flights in Multiagent and Dynamic Environments
… interval of a polynomial trajectory. Second, multiagent planners usually make centralized and/or synchronized computation assumptions, which lead to poor scalability with the number of agents or can degrade the overall performance. Finally, position and yaw are decoupled when optimizing …
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Multiagent Approaches to Enhance Learning and Trust in AI Systems
… frameworks such as extensive form games and multiagent reinforcement learning, this work demonstrates how regret minimization can serve as a unifying foundation for scalable learning. Contributions include a new interpretation of an existing Multiagent Reinforcement Learning (MARL) as a …
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A Multiagent Energy Management Control System for Commercial & Industrial Applications
… volatility. This thesis describes a centralized multiagent approach that automatically negotiates demand curtailment with a power provider while making the best use of available distributed energy resources. Weather-dependent load and source forecasting methods are implemented to improve …
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