Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Scan detection and suppression methods are an important means for preventing the disclosure of network information to attackers. However, despite the importance of limiting the inf...
Min Gyung Kang, Juan Caballero, Dawn Xiaodong Song
We study the problem of an apprentice learning to behave in an environment with an unknown reward function by observing the behavior of an expert. We follow on the work of Abbeel ...
Governments have developed policies and strategies which are designed to assist SMEs to become eenabled. It is not clear what impact these strategies have on SMEs. There is some e...
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...