Abstract Although the presence of free communication reduces the complexity of multi-agent POMDPs to that of single-agent POMDPs, in practice, communication is not free and reducing the amount of communication is often desirable. We present a novel approach for using centralized “single-agent ” policies in decen-tralized multi-agent systems by maintaining and reasoning over the possible joint beliefs of the team. We describe how communication is used to integrate local observations into the team belief as needed to improve performance. We show both experimentally and through a detailed example how our approach reduces communication while improving the performance of distributed execution
Abstract. Decentralized Partially Observable Markov Decision Pro-cesses (Dec-POMDPs) provide powerfu...
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov dec...
The problem of planning with partial observability in the presence of a single agent has been addres...
In decentralized settings with partial observability, agents can often benefit from communicating, b...
Learning to communicate is an emerging challenge in AI research. It is known that agents interacting...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
In large decentralised teams agents often share uncertain and conflicting information across the net...
In large decentralised teams agents often share un-certain and conflicting information across the ne...
International audienceCommunication is a natural way to improve coordination in multi-agent systems ...
In a wide range of emerging applications, from disaster management to intelligent sensor networks, t...
Multi-agent planning in stochastic environments can be framed formally as a decen-tralized Markov de...
Learning to communicate is an emerging challenge in AI re-search. It is known that agents interactin...
peer reviewedDecentralized partially observable Markov decision processes (DEC-POMDPs) form a genera...
In this paper we present an approach for improving the accu-racy of shared opinions in a large decen...
In this paper we present an approach for improving the accuracy of shared opinions in a large decent...
Abstract. Decentralized Partially Observable Markov Decision Pro-cesses (Dec-POMDPs) provide powerfu...
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov dec...
The problem of planning with partial observability in the presence of a single agent has been addres...
In decentralized settings with partial observability, agents can often benefit from communicating, b...
Learning to communicate is an emerging challenge in AI research. It is known that agents interacting...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
In large decentralised teams agents often share uncertain and conflicting information across the net...
In large decentralised teams agents often share un-certain and conflicting information across the ne...
International audienceCommunication is a natural way to improve coordination in multi-agent systems ...
In a wide range of emerging applications, from disaster management to intelligent sensor networks, t...
Multi-agent planning in stochastic environments can be framed formally as a decen-tralized Markov de...
Learning to communicate is an emerging challenge in AI re-search. It is known that agents interactin...
peer reviewedDecentralized partially observable Markov decision processes (DEC-POMDPs) form a genera...
In this paper we present an approach for improving the accu-racy of shared opinions in a large decen...
In this paper we present an approach for improving the accuracy of shared opinions in a large decent...
Abstract. Decentralized Partially Observable Markov Decision Pro-cesses (Dec-POMDPs) provide powerfu...
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov dec...
The problem of planning with partial observability in the presence of a single agent has been addres...