This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Brokers are used in many multi-agent systems for locating agents, for routing and sharing information, for managing the system, and for legal purposes, as independent third partie...
Sanjeev Kumar, Philip R. Cohen, Hector J. Levesque
Abstract This paper contributes to the design of intelligent buildings. A MultiAgents Home Automation System (MAHAS) is proposed which controls appliances and energy sources in bui...
Sophisticated agents operating in open environments must make decisions that efficiently trade off the use of their limited resources between dynamic deliberative actions and dom...
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...