Quantifying Faulty Assumptions in Heterogeneous Multi|Agent ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent ...

We study the problem of analyzing the effects of inconsistencies in perception, intent prediction, and decision making among interacting agents.

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent Systems. Steven Carr 1. Tichakorn Wongpiromsarn2. Ufuk Topcu 1. Abstract—We study the problem of ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent. Systems*. Steven Carr 1. Tichakorn Wongpiromsarn2. Ufuk Topcu 1. Abstract—We study the problem of ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent ...

Request PDF | On Aug 16, 2023, Steven Carr and others published Quantifying Faulty Assumptions in Heterogeneous Multi-Agent Systems * | Find, read and cite ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent Systems *. Steven Carr 1. ,. Tichakorn Wongpiromsarn 2. ,. Ufuk Topcu 1.

Quantifying Faulty Assumptions in Heterogeneous Mutliagent Systems

In the embbedded video we demonstrate our running example in the CARLA autonomous simulator. When the two agents perceive the world differently the assumed ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent ...

In this video, we demonstrate using the Carla Autonomous Driving simulator the conditions when two vehicles perceive the probability that a ...

Consensus of heterogeneous multi-agent system with input constraints

This work shows an approach to achieve output consensus among heterogeneous agents in a multi-agent environment where each agent is subject to input ...

Coordination of heterogeneous multi-agent systems via blended ...

Speaker: Prof. Hyungbo Shim Affiliation: Seoul National University, South Korea.

Automata Theory Meets Barrier Certificates: Temporal Logic ...

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Thus far, the analysis of the optimal coverage problem has been carried out based on the assumption that there exists a fixed number N of agents to be deployed.

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On the Approximation of Cooperative Heterogeneous Multi-Agent ...

the MARL problem for this heterogeneous system by its corresponding MFC problem. ... Consider a multi-agent system satisfying Assumptions 2 and 4. We shall use ...

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The complexity of these models often necessitates introducing tractability assumptions that largely pre- clude scholars from considering ...

Heterogeneous Agent Trade - michael waugh

Then, with the Type. 1 extreme value assumption and the household's problem, I can say more about the extensive margin elasticity. The Intensive Margin ...

Consensus Criterion Verification for Heterogeneous Multi-Agent ...

The benefits of our method are twofold. One is the automatic verification of consensus for the heterogeneous multi-agent systems, for which the widely used ...

[PDF] Towards Assume-Guarantee Profiles for Autonomous ...

Quantifying Faulty Assumptions in Heterogeneous Multi-Agent Systems * · Computer Science. 2023 IEEE Conference on Control Technology and… · 2023.

"Performance of Heterogeneous Multi-Agent Systems ... - AFIT Scholar

... multi-agent system effectiveness and investigates the application of multi-agent systems to the complex problem of combined arms warfare. Hundreds of multi- ...

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Abstract Multi-agent Reinforcement Learning (MARL) is gaining significance as a key framework for various sequential decision-making and control tasks.