Dan's dissertation presented algorithms enabling an autonomous mobile robot to learn about the effects of its actions and the meanings of its sensations. These action and sensor models are learned without the robot starting with an accurate estimate of either model. These algorithms were implemented and tested on two robotic platforms: a Sony AIBO ERS-7 and an autonomous car. After graduating, Dan joined Morgan Stanley as a trading strategist to model the behavior of illiquid credit derivatives.
dan stronger [at] gmail com