This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
We have been developing an approach for the distributed coordination of heterogeneous, autonomous agents. This approach takes as input (a) agent skeletons, giving compact descript...
Distributed allocation and multiagent coordination problems can be solved through combinatorial auctions (CAs). However, most of the existing winner determination algorithms (WDAs...
Hardware agents as a part of cooperative multi-agent systems act in dynamically changing environments and accomplish tasks jointly. Since the pure hybrid plan representation provid...
Agents with partial observability need to share information to achieve decentralised coordination. However, in resource-constrained systems, indiscriminate communication can creat...
Partha Sarathi Dutta, Claudia V. Goldman, Nicholas...