@Book{Knox2009,
author = {Knox, W Bradley and Stone, Peter}, 
title = {Interactively shaping agents via human reinforcement: the TAMER framework}, 
volume = {}, 
pages = {9-16}, 
editor = {}, 
publisher = {ACM}, 
address = {New York, New York, USA}, 
year = {2009}, 
abstract = {Abstract As computational learning agents move into domains that incur real costs (eg, autonomous driving or financial investment), it will be necessary to learn good policies without numerous high-cost learning trials. One promising approach to reducing sample.}, 
keywords = {}}

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