Curiosity Driven Deep Reinforcement Learning
Deep Reinforcement Learning
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Paper Analysis: Asynchronous Methods for Deep Reinforcement Learning
Paper Analysis: Curiosity Driven Exploration Self Supervised Prediction
In 2012 I received my PhD in experimental condensed matter physics from West Virginia University. Following that I was a dry etch process engineer for Intel Corporation, where I leveraged big data to make essential process improvements for mission critical products. After leaving Intel in 2015, I have worked as a contract and freelance deep learning and artificial intelligence engineer.