An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
Medical data is unique due to its large volume, heterogeneity and complexity. This necessitates costly active participation of medical domain experts in the task of cleansing medi...
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
A numberof strategies exist for the recovery from execution-timeplan failures. Onedimensionin whichthese strategies differ is the degree of dependenceon the reliability andavailab...
This paper describes SYNAPSIS, a parser for performing real-time understanding of spoken utterances in a parallel computational environment. Understanding continuous speech allowi...