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Beitelspacher, Josh (2006). Implicit Robot Localization through Prediction. Master's thesis. University of Oklahoma, School of Computer Science. Beitelspacher, Josh and Fager, Jason and Henriques, Greg and McGovern, Amy (2006). Policy Gradient vs. Value Function Approximation: A Reinforcement Learning Shootout. University of Oklahoma, School of Computer Science, Technical Report CS-TR-06-001. Beitelspacher, Josh (2005). Applying Reinforcement Learning to Obstacle Avoidance.

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Beitelspacher, Josh (2006). Implicit Robot Localization through Prediction. Master's thesis. University of Oklahoma, School of Computer Science. Beitelspacher, Josh and Fager, Jason and Henriques, Greg and McGovern, Amy (2006). Policy Gradient vs. Value Function Approximation: A Reinforcement Learning Shootout. University of Oklahoma, School of Computer Science, Technical Report CS-TR-06-001. Beitelspacher, Josh (2005). Applying Reinforcement Learning to Obstacle Avoidance.
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Beitelspacher, Josh (2006). Implicit Robot Localization through Prediction. Master's thesis. University of Oklahoma, School of Computer Science. Beitelspacher, Josh and Fager, Jason and Henriques, Greg and McGovern, Amy (2006). Policy Gradient vs. Value Function Approximation: A Reinforcement Learning Shootout. University of Oklahoma, School of Computer Science, Technical Report CS-TR-06-001. Beitelspacher, Josh (2005). Applying Reinforcement Learning to Obstacle Avoidance.

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Beitelspacher, Josh (2006). Implicit Robot Localization through Prediction. Master's thesis. University of Oklahoma, School of Computer Science. Beitelspacher, Josh and Fager, Jason and Henriques, Greg and McGovern, Amy (2006). Policy Gradient vs. Value Function Approximation: A Reinforcement Learning Shootout. University of Oklahoma, School of Computer Science, Technical Report CS-TR-06-001. Beitelspacher, Josh (2005). Applying Reinforcement Learning to Obstacle Avoidance.

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