A common objective in mechanism design is to choose the outcome (for example, allocation of resources) that maximizes the sum of the agents' valuations, without introducing in...
Krzysztof R. Apt, Vincent Conitzer, Mingyu Guo, Ev...
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
Oblivious submission to anonymity systems is a process by which a message may be submitted in such a way that neither the anonymity network nor a global passive adversary may dete...
Thomas S. Heydt-Benjamin, Andrei Serjantov, Beness...
To facilitate the rapid development and open system interoperability of autonomous agents we need to carefully specify and effectively implement various classes of agent behaviors...
Keith Decker, Anandeep Pannu, Katia P. Sycara, Mik...
—We examine the use of teleological metareasoning for self-adaptation in game-playing software agents. The goal of our work is to develop an interactive environment in which the ...
Joshua Jones, Chris Parnin, Avik Sinharoy, Spencer...