Self-propagating codes, called worms, such as Code Red, Nimda, and Slammer, have drawn significant attention due to their enormous adverse impact on the Internet. There is a grea...
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
We present here Extended Markov Tracking (EMT), a computationally tractable method for the online estimation of Markovian system dynamics, along with experimental support for its ...
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
The TAC 2003 supply-chaingame presented automated trading agents with a challenging strategic problem. Embedded within a complex stochastic environment was a pivotal strategic deci...
Joshua Estelle, Yevgeniy Vorobeychik, Michael P. W...