This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Enabling interactions of agent-teams and humans is a critical area of research, with encouraging progress in the past few years. However, previous work suffers from three key lim...
Nathan Schurr, Janusz Marecki, N. Kasinadhuni, Mil...
The ability to generate narrative is of importance to computer systems that wish to use story effectively for entertainment, training, or education. We identify two properties of ...
When a supply chain is established supply chain management (SCM) needs supporting tools for the tasks of operative planning, scheduling, and coordination. These tasks have to be p...
TAC-02 was the third in a series of Trading Agent Competition events fostering research in automating trading strategies by showcasing alternate approaches in an open-invitation m...
Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevi...