Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
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
In this paper, we describe a receding horizon scheme that satisfies a class of linear temporal logic specifications sufficient to describe a wide range of properties including saf...
Tichakorn Wongpiromsarn, Ufuk Topcu, Richard M. Mu...
Multihomed subscribers are increasingly adopting intelligent route control solutions to optimize the cost and end-to-end performance of the traffic routed among the different link...
Marcelo Yannuzzi, Xavier Masip-Bruin, Eva Mar&iacu...
The limitations of BGP routing in the Internet are often blamed for poor end-to-end performance and prolonged connectivity interruptions. Recent work advocates using overlays to e...
Aditya Akella, Jeffrey Pang, Bruce M. Maggs, Srini...