Results 21 to 30 of about 313 (44)
Backdoor Attacks on Multiagent Collaborative Systems
, 2022 Backdoor attacks on reinforcement learning implant a backdoor in a victim agent's policy. Once the victim observes the trigger signal, it will switch to the abnormal mode and fail its task.
Chen, Shuo, Qiu, Yue, Zhang, Jie
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Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View
, 2023 Effective coordination and cooperation among agents are crucial for accomplishing individual or shared objectives in multi-agent systems. In many real-world multi-agent systems, agents possess varying abilities and constraints, making it necessary to ...
Ahmadzadeh, S. Reza +3 more
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Norm Monitoring under Partial Action Observability [PDF]
In the context of using norms for controlling multi-agent systems, a vitally important question that has not yet been addressed in the literature is the development of mechanisms for monitoring norm compliance under partial action observability.
Criado, N, Such, JM
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Decentralized Multi-agent Filtering
, 2023 This paper addresses the considerations that comes along with adopting decentralized communication for multi-agent localization applications in discrete state spaces.
Huh, Dom, Mohapatra, Prasant
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Deep Continuum Deformation Coordination and Optimization with Safety Guarantees
, 2023 In this paper, we develop and present a novel strategy for safe coordination of a large-scale multi-agent team with ``\textit{local deformation}" capabilities.
Rastgoftar, Hossein +1 more
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, 2022 We derive a learning framework to generate routing/pickup policies for a fleet of vehicles tasked with servicing stochastically appearing requests on a city map.
Bertsekas, Dimitri +3 more
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, 2023 The legitimacy of bottom-up democratic processes for the distribution of public funds by policy-makers is challenging and complex. Participatory budgeting is such a process, where voting outcomes may not always be fair or inclusive.
Majumdar, Srijoni, Pournaras, Evangelos
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Differential Privacy in Cooperative Multiagent Planning
, 2023 Privacy-aware multiagent systems must protect agents' sensitive data while simultaneously ensuring that agents accomplish their shared objectives. Towards this goal, we propose a framework to privatize inter-agent communications in cooperative multiagent
Chen, Bo +5 more
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Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
, 2023 While decentralized training is attractive in multi-agent reinforcement learning (MARL) for its excellent scalability and robustness, its inherent coordination challenges in collaborative tasks result in numerous interactions for agents to learn good ...
Ba, Yanwen +6 more
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Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility
, 2023 It has been considered that urban air mobility (UAM), also known as drone-taxi or electrical vertical takeoff and landing (eVTOL), will play a key role in future transportation. By putting UAM into practical future transportation, several benefits can be
Jung, Soyi +5 more
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