In this paper we develop a computational model of visual adaptation for realistic image synthesis based on psychophysical experiments. The model captures the changes in threshold ...
James A. Ferwerda, Sumanta N. Pattanaik, Peter Shi...
Encouraging voters to truthfully reveal their preferences in an election has long been an important issue. Previous studies have shown that some voting protocols are hard to manip...
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Because the inductive noise Ldi/dt is induced by the power change and can have disastrous impact on the timing and reliability of the system, high-performance CPU designs are more ...
Zhenyu Tang, Norman Chang, Shen Lin, Weize Xie, O....
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...