— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
Immersing players in believable and engaging virtual environments is a common goal for many interactive computer games. While PC-based audio only games set in virtual worlds have ...
Abstract-- Many peer-to-peer-based virtual environment (P2PVE) solutions have been proposed recently to improve the scalability of distributed virtual environment (VE) systems. By ...
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...