This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...
Richardson Ribeiro, Alessandro L. Koerich, Fabr&ia...
The purpose of this paper is to introduce a multi-agent model for plan synthesis in which the production of a global shared plan is based on a promising unified framework based on...
A major challenge in the field of Multi-Agent Systems is to enable autonomous agents to allocate tasks efficiently. This paper extends previous work on an approach to the collec...
Christian Guttmann, Iyad Rahwan, Michael P. George...
This paper describes a new agent framework that fuses an HTN planner, through its underlying conceptual model, with the mental attitudes of the BDI agent architecture, thus exploi...
Gerhard Wickler, Stephen Potter, Austin Tate, Mich...
Today’s air traffic management system is not expected to scale to the projected increase in traffic over the next two decades. Enhanced collaboration between the controllers and...
Shawn R. Wolfe, Francis Y. Enomoto, Peter A. Jarvi...