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IJCNN
2008
IEEE
15 years 8 months ago
Learning to select relevant perspective in a dynamic environment
— 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...
115
Voted
ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
15 years 9 months ago
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach
— 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...
Benoit Libeau, Alain Micaelli, Olivier Sigaud
ACMACE
2005
ACM
15 years 7 months ago
Designing a narrative-based audio only 3D game engine
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 ...
Timothy Roden, Ian Parberry
135
Voted
ICUMT
2009
15 years 1 days ago
Discovery of Physical Neighbors for P2P 3D streaming
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 ...
Chang-Hua Wu, Shun-Yun Hu, Li-Ming Tseng
98
Voted
PRIMA
2009
Springer
15 years 8 months ago
Recursive Adaptation of Stepsize Parameter for Non-stationary Environments
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...
Itsuki Noda