Search results for "Multia"

showing 10 items of 159 documents

Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation

2012

In this paper, the calibration of a framework based in Multi-agent Reinforcement Learning (RL) for generating motion simulations of pedestrian groups is presented. The framework sets a group of autonomous embodied agents that learn to control individually its instant velocity vector in scenarios with collisions and friction forces. The result of the process is a different learned motion controller for each agent. The calibration of both, the physical properties involved in the motion of our embodied agents and the corresponding dynamics, is an important issue for a realistic simulation. The physics engine used has been calibrated with values taken from real pedestrian dynamics. Two experime…

Computer Science::Multiagent SystemsComputer scienceDynamics (mechanics)DiagramComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCalibrationProcess (computing)Reinforcement learningMotion controllerPhysics engineSimulationMotion (physics)
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"Table 30" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Differential 3-jet rate for the JADE Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.

Computer Science::Multiagent SystemsDN/DSIGE+ E- --> 3JETAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringExclusiveHigh Energy Physics::Experiment91.2Single Differential DistributionJet Production
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"Table 23" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

2-jet rate for the Jade Algorithm.

Computer Science::Multiagent SystemsDijet Production133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionE+ E- --> 2JETCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 28" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Differential 2-jet rate for the JADE Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.

Computer Science::Multiagent SystemsDijet ProductionDN/DSIGAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringExclusiveHigh Energy Physics::Experiment91.2Single Differential DistributionJet ProductionE+ E- --> 2JET
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Lazy consensus for networks with unknown but bounded disturbances

2007

We consider stationary consensus protocols for networks of dynamic agents. The measure of the neighbors' state is affected by Unknown But Bounded disturbances. Here the main contribution is the formulation and solution of what we call the isin-consensus problem, where the states are required to converge in a tube of ray isin asymptotically or in finite time.

Computer Science::Multiagent SystemsDynamic agentsLazy consensusComputer scienceControl theoryMulti-agent systemBounded functionDynamic agents; Lazy consensus; Stationary consensus protocolsState (functional analysis)Stationary consensus protocolsTopologyMeasure (mathematics)Uniform consensus2007 46th IEEE Conference on Decision and Control
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"Table 25" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

4-jet rate for the Jade Algorithm.

Computer Science::Multiagent SystemsE+ E- --> 4JET133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 32" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Differential 4-jet rate for the JADE Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.

Computer Science::Multiagent SystemsE+ E- --> 4JETDN/DSIGAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringExclusiveHigh Energy Physics::Experiment91.2Single Differential DistributionJet Production
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"Table 26" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

5-jet rate for the Jade Algorithm.

Computer Science::Multiagent SystemsE+ E- --> 5JET133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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Consensus for switched networks with unknown but bounded disturbances

2006

We consider stationary consensus protocols for networks of dynamic agents with switching topologies. The measure of the neighbors' state is affected by Unknown But Bounded disturbances. Here the main contribution is the formulation and solution of what we call the $\epsilon$-consensus problem, where the states are required to converge in a tube of ray $\epsilon$ asymptotically or in finite time.

Computer Science::Multiagent SystemsOptimization and Control (math.OC)FOS: MathematicsMathematics - Optimization and Control
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A Similarity Evaluation Technique for Cooperative Problem Solving with a Group of Agents

1999

Evaluation of distance or similarity is very important in cooperative problem solving with a group of agents. Distance between problems is used by agents to recognize nearest solved problems for a new problem, distance between solutions is necessary to compare and evaluate the solutions made by different agents, and distance between agents is useful to evaluate weights of the agents to be able to integrate them by weighted voting. The goal of this paper is to develop a similarity evaluation technique to be used for cooperative problem solving with a group of agents. Virtual training environment used for this goal is represented by predicates that define relationships within three sets: prob…

Computer Science::Multiagent SystemsTheoretical computer scienceSimilarity (network science)Computer scienceGroup (mathematics)business.industryStructure (category theory)Weighted votingInformation systemVirtual trainingArtificial intelligencebusinessCooperative problem solving
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