In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...
As language is fundamental to human activities, proficiency in other languages becomes important. Besides for developing abilities for communication, the knowledge is also a tool f...
Rapid advances in wireless networking technologies have enabled mobile devices to be connected anywhere and anytime. While roaming, applications on these devices dynamically disco...
A Middleware is the software that assists an application to interact or communicate with other applications, networks, hardware, and/or operating systems. We have earlier proposed ...
Praveen Madiraju, Sushil K. Prasad, Rajshekhar Sun...