Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...
In the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a &q...
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
The Bauer College of Business at the University of Houston uses lists of journals as part of its process to evaluate and reward the research productivity of its faculty. The creat...