Robust Multi-Agent Path FindingDor AtzmonRoni SternAriel FelnerGlenn WagnerRoman BartákNeng-Fa ZhouInternational Foundation for Autonomous Agents and Multiagent SystemsAdaptive Agents and Multi-Agents Systems
a study of the multi-agent benefit distribution model in the transformation of medical science and technology achievements [Paper] research of selection of distribution in the tasks of the regional system of medical prevention [Paper] comparative study of mutualisation scenarios for distribution of...
In the multi-agent systems with n agents, the interconnection topology can be described as a digraph G=(V,E,A). Each agent can be considered as a node in the digraph, and an information flow between two agents can be regarded as a directed path between two nodes. Consider a multi-agen...
Multi-environment MDPs (MEMDPs) [14,36] contain a set of MDPs, called environments, over the same state space. The goal in MEMDPs is to find a single policy that satisfies a given specification inallenvironments. MEMDPs are, for instance, a natural model for MDPs with unknown system d...
A distributed control approach based on multiagent negotiation is presented, wherein stops and buses act as agents that communicate in real-time to achieve... J Zhao,S Bukkapatnam,MM Dessouky - 《Intelligent Transportation Systems IEEE Transactions on》 被引量: 96发表: 2003年 A design methodolo...
In the distributed computer systems communities, some promi- nent algorithms achieving consensus are Paxos [29], MultiPaxos [47], Raft [36], and Practical Byzantine Fault Tolerance (PBFT) [6]. However, these algorithms deal with the problem of exact consensus. There are many scenarios where ...
Optimization of route planning and exploration using multi agent system The hybrid architecture incorporates learning real time A* algorithm for route planning and compares it with A* searching algorithm. Learning real time A* ... K Zafar,AR Baig - 《Multimedia Tools & Applications》 被引量: 12...
Kaya et al., “Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs,” CVPR Workshops, 2017, 9 pages. Lundberg et al., “A Unified Approach to Interpreting Model Predictions,” Advances in Neural Information Processing Systems, 2017, 10 ...
We propose a deformable registration algorithm based on unsupervised learning of a low-dimensional probabilistic parameterization of deformations. We model registration in a probabilistic and generative fashion, by applying a conditional variational auto
(such as a plastic carrier, with leads that are affixed to a motherboard or other higher level carrier) or in a multichip package (such as a ceramic carrier that has either or both surface interconnections or buried interconnections). In any case the chip is then integrated with other ...