Results 11 to 20 of about 313 (44)
Evolving cooperation in multi-agent systems [PDF]
, 2021 Applications of deep reinforcement learning in multi-agent systems are a rapidly developing scientific field that focuses on constructing computational frameworks and models for how various agents can interact efficiently to achieve their goals.
Elli Galata, Aglaia
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Developing Multi-Agent Systems with Degrees of Neuro-Symbolic Integration [A Position Paper]
, 2023 In this short position paper we highlight our ongoing work on verifiable heterogeneous multi-agent systems and, in particular, the complex (and often non-functional) issues that impact the choice of structure within each ...
Dennis, Louise +2 more
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What Do You Care About: Inferring Values from Emotions
, 2023 Observers can glean information from others' emotional expressions through the act of drawing inferences from another individual's emotional expressions.
Dastani, Mehdi +3 more
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GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
, 2023 This paper introduces the "GPT-in-the-loop" approach, a novel method combining the advanced reasoning capabilities of Large Language Models (LLMs) like Generative Pre-trained Transformers (GPT) with multiagent (MAS) systems.
Alencar, Paulo +2 more
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, 2022 We propose the novel few-shot teamwork (FST) problem, where skilled agents trained in a team to complete one task are combined with skilled agents from different tasks, and together must learn to adapt to an unseen but related task.
Albrecht, Stefano V. +3 more
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Liquid Democracy: An Analysis in Binary Aggregation and Diffusion [PDF]
, 2016 The paper proposes an analysis of liquid democracy (or, delegable proxy voting) from the perspective of binary aggregation and of binary diffusion models.
Christoff, Zoé, Grossi, Davide
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Revisiting MAB based approaches to recursive delegation
, 2023 In this paper we examine the effectiveness of several multi-arm bandit algorithms when used as a trust system to select agents to delegate tasks to. In contrast to existing work, we allow for recursive delegation to occur.
Oren, Nir
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, 2022 This paper proposes a novel centralized training and distributed execution (CTDE)-based multi-agent deep reinforcement learning (MADRL) method for multiple unmanned aerial vehicles (UAVs) control in autonomous mobile access applications. For the purpose,
Jung, Soyi +4 more
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Practical Model Reductions for Verification of Multi-Agent Systems
, 2023 Formal verification of intelligent agents is often computationally infeasible due to state-space explosion. We present a tool for reducing the impact of the explosion by means of state abstraction that is (a) easy to use and understand by non-experts ...
Jamroga, Wojciech, Kim, Yan
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STV+AGR: Towards Practical Verification of Strategic Ability Using Assume-Guarantee Reasoning
, 2023 We present a substantially expanded version of our tool STV for strategy synthesis and verification of strategic abilities. The new version provides a web interface and support for assume-guarantee verification of multi-agent ...
Jamroga, Wojciech +2 more
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